Sökresultat för "Architectures"

Role: Systems Design Engineer Location: Warwick, CV34 6TE Hours: 37 hours per week | between 08:00 and 16:30 Monday to Thursday and 08:00 - 13:00 Friday Salary: between £40,000 and £60,000 pa DOE     Are you interested in creating innovative vehicle systems and seeing how electrical, mechanical and communication technologies work together? We're looking for a Systems Design Engineer to join our Engineering team in Warwick. This role offers the opportunity to contribute to the design, development, validation and integration of vehicle systems across our product range, working collaboratively with engineers, suppliers and stakeholders across the business. As part of the team, you'll help develop robust system architectures, capture and manage requirements, support validation activities, and ensure vehicle systems perform as intended throughout the development lifecycle. What you'll be doing   * Developing and documenting system requirements and architectures * Capturing stakeholder needs and ensuring compliance with relevant regulations and standards * Supporting the integration of electrical, mechanical and communication systems * Creating electrical interconnection schematics and supporting documentation * Supporting vehicle commissioning, validation and fault-finding activities * Contributing to DVP&R planning, validation and verification activities * Working closely with software, testing and engineering teams to deliver effective system solutions * Reviewing test results and supporting continuous improvement throughout product development What we're looking for   We're interested in hearing from people who can bring a combination of technical knowledge, curiosity and collaborative working. You may be an experienced Systems Engineer or have developed relevant skills in a similar engineering environment. You'll ideally have:   * A degree in a relevant engineering discipline * Experience in systems engineering, system integration or product development * Knowledge of requirements capture and management throughout the development lifecycle * Experience working with system architectures, validation activities and the V-model * The ability to communicate technical information clearly to a range of audiences * Strong analytical and problem-solving skills * The ability to manage competing priorities while maintaining attention to detail * Experience with electrical schematics and system commissioning activities * Knowledge of CANbus, ISO26262, Functional Safety, or automotive/off-highway systems would be advantageous but is not essential. Ready for your next engineering challenge? Join us and play a key role in developing innovative vehicle systems that make a difference.   We welcome applicants from all backgrounds. Even if you don’t meet every single requirement, we encourage you to apply. We value potential and are committed to supporting your growth in the role. At Dennis Eagle we are proud to be an equal opportunities employer and a disability confident organisation. We are committed to fostering an inclusive workplace where diversity is celebrated. As part of our dedication to creating a supportive environment, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy. We invite you to engage in an open conversation with us about how we can best support you and ensure that your unique skills and talents are recognised and valued. Your success is integral to our collective growth, and we look forward to working together to create a workplace that empowers everyone to thrive.   WHY YOU’LL LOVE WORKING HERE: * 25 days holiday plus Bank Holidays: this is based on a 5 day working week (pro rata to 20 days plus Bank Holidays for a 4 day working week) * Enhanced Pension Scheme and DIS Benefit: The company contributes 5% of total salary into our pension scheme, and 5x basic salary Death In Service. * Employee Assistance Programme: Access a 24-hour helpline for support with life's challenges, including stress & anxiety, bereavement, relationship advice, tenancy & housing concerns, counselling, financial wellbeing, legal information, substance issues, family matters, childcare support, medical information, and consumer issues. * Health Shield Medical Cash Plan: All employees receive membership to a company-funded medical cash plan. This scheme allows you to claim cash back for medical expenses, including prescriptions, dental, optical, physiotherapy, specialist consultations, X-rays, and MRI scans. * GP Anytime: Enjoy access to GP services anytime with our online 24/7 appointment service, featuring on-demand appointments, unlimited consultations, no capped appointment times, and convenient prescriptions. * Training and Development: We offer mandatory equipment training, a Management Development Programme, and opportunities to upskill through apprenticeships. * Cycle to Work Scheme: Save on commuting costs and stay healthy with our cycle to work scheme. * Care Concierge: Get help navigating the care system with access to a team of dedicated care experts. * Occupational Health Support and Health Surveillance: Ensure your well-being with our comprehensive occupational health support. * My Benefits Platform: Enjoy discounts from high street retailers, health & wellness services, entertainment & days out, and home & DIY products. * Independent Free Mortgage Advice: Receive free, independent advice on mortgages to help you make informed decisions.   ---------------------------------------------------------------------------------------------------------------------------------- Please don’t delay your application, this role could be filled at any time for the right candidate. Please be aware that Dennis Eagle is not a sponsoring organisation. Therefore the successful applicant must already possess the right to work in the UK or be able to secure the right to work in the UK independently. If you'd like to learn more about how we handle your information, please check out our Job Applicant Privacy Notice by clicking here.

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team. We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems. This role will be based in North America west coast, and offers a hybrid working model.  THE IDEAL CANDIDATE FOR THIS ROLE WILL HAVE * 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure * 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results * Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling * Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB) * Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus * Curiosity, a positive attitude, and a drive to continue learning * Excellent verbal and written communication skills * Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity POSITION EXPECTATIONS * Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement * Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant * Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs * Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset * Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence * Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary SUCCESS MEASURES Within the first three months, you will have: * Fully ramped up on our architecture, business domain, and team processes * Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap * Begin mentoring team members and building strong collaborative relationships with your product counterparts Within six months, you will have: * Successfully led the team to deliver a major feature or product release * Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams * Established a clear rhythm of execution and a high-performing culture within your team Within 12 months, you will have: * Become recognized as the go-to technical expert for the code transformation domain at MongoDB * Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business * Played a crucial role in recruiting, hiring, and growing the engineering team ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 1273362479 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $191,000—$265,000 CAD

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  About the role:  We’re looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development.  As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms. About the work: * Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity. * Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it. * Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.  * Research operational/logistical problems and proactively identify potential solutions. * Lead the design, implementation, and evaluation of descriptive and predictive models. * Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity. About you:  * 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment. * You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs. * Deep professional expertise in at least one of the following two areas: * Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting. * Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact. * You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.  * Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience. * You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes. * You rapidly iterate and deliver technical solutions that maximize business impact. * Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders. You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies. Bonus points if you have professional experience with:  * Experience designing experiments and applying causal inference methods to rigorously determine business impact. * Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting). * Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines. * Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,400—$216,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Role Overview We are seeking a visionary and technically proficient IT Strategy and Data Engineer to bridge the gap between our business objectives and our technical data capabilities. You will design, build, and optimize robust data pipelines and architectures, while concurrently architecting long-term IT and data strategies that drive company growth. Key Responsibilities Data Engineering & Architecture Pipeline Development: Design, construct, and maintain scalable data pipelines and API integrations for complex, high-volume datasets. ETL/ELT Workflows: Build and manage data warehousing solutions using automated Extract, Transform, Load (ETL) frameworks. Data Governance & Quality: Implement data quality assurance frameworks and enforce data security and privacy compliance standards. Database Management: Optimize database performance (e.g., query optimization, indexing, partitioning) to ensure efficient data availability. [1, 2, 3, 4, 5, 6, 7] IT & Data Strategy Strategic Planning: Collaborate with executive leadership and cross-functional teams to shape the long-term data platform and enterprise architecture roadmap. [1] Vendor & Tool Evaluation: Research, evaluate, and recommend open-source technologies, third-party vendor tools, and cloud platforms (e.g., AWS, GCP, Azure). [1, 2] Business Alignment: Translate high-level business requirements into technical solutions and establish metrics to measure the strategic impact of new data solutions. [1, 2] Cross-Functional Leadership: Partner with Data Analysts and Data Scientists to design data models that empower business intelligence (BI)

Ytsab Defence AB specializes in advanced electromagnetic launch systems and high- voltage pulsed power engineering. We are leading the development of next-generation defence capabilities through innovative, modular architectures. We are looking for a talented and driven Electronics Engineer to join our development team, where you will play a critical role in the research, design, and optimization of the core electromagnetic launch system. You will focus on the physics of multistage acceleration, power regulation, bridging theoretical models with physical experimental setups. You will work closely with international partners to integrate your designs with advanced switching systems, capacitor banks, and thermal management architectures. As an Electronics Engineer at Ytsab Defence, you will:  Design, test, and integrate advanced electronic systems for electromagnetic weapons.  Work closely with mechanical and software engineers to develop complete system solutions.  Develop PCBs, high-speed switching circuits, and power electronics.  Support system integration, testing, and troubleshooting of electronic components.  Contribute to R&D activities and new product development from concept to prototype. We’re Looking For  A degree in Engineering Physics, Electrical or Electronics Engineering (BSc, MSc, or equivalent).  Solid experience in analogue and digital circuit design.  Experience with power electronics, high current systems, or pulse power is a big plus.  PCB design experience (Altium Designer or similar).  Familiarity with embedded systems or microcontrollers is advantageous. Strong problem-solving skills and the ability to work independently in a fast-paced R&D environment.  Fluent in English; Swedish is a bonus. Due to the nature of this project, applicants must be eligible to obtain the required national security clearances.

We are now looking for a Senior IT Security Architect who wants to play a key role in helping our customers build resilient, modern, and business-aligned security architectures. With us, you will work at the forefront of cybersecurity alongside some of the industry’s leading specialists — in a company with a strong expert profile, a solid culture, and international reach. This role is for someone highly senior who understands that good security architecture is not only about controls and technology, but about creating customer value: reducing risk, enabling transformation, supporting compliance, improving decision-making, and building solutions that remain effective over time. You are expected to take ownership of the bigger picture, challenge stakeholders at the right level, build trust in executive-level discussions, and at the same time possess sufficient technical depth to make sound architectural decisions. Example of responsibilities: Lead and drive security architecture initiatives in complex customer environments Develop target architectures, current-state assessments, gap analyses, and transformation roadmaps Advise customers on Zero Trust strategy and architecture, including identity-centric security, segmentation, least privilege, continuous verification, and secure access Design security architectures for hybrid environments, datacenters, networks, identity, endpoints, applications, and cloud services Support customers in architectural matters related to AWS, Azure, and GCP Ensure that security solutions support business objectives, risk management, and regulatory requirements Facilitate workshops, lead design decisions, and prepare decision-making material for both technical and business-oriented stakeholders Act as a strategic advisor to CISOs, IT leadership, architecture boards, and projects/programs Contribute to the continued development of our offerings, methodologies, and best practices within security architecture Your Profile We are looking for someone clearly senior, with many years of experience in security architecture, complex IT environments, and advisory work toward customers or larger internal organizations. You are confident in your expertise, comfortable taking ownership, and capable of connecting technology, risk, and business value. We believe you have: Extensive experience working as a Security Architect, Enterprise Architect with a security focus, or a similar senior advisory role Strong understanding of security architecture across several of the following areas: Zero Trust, IAM/PAM, network security, cloud security, hybrid architecture, endpoint security, application security, data protection, and logging/monitoring Proven experience translating security requirements and risks into concrete architectural decisions and actionable plans The ability to lead workshops, facilitate decisions, and build alignment between technical and business stakeholders Strong consultative skills and a deep understanding of how security creates customer value Experience working with strategies, target architectures, governing principles, reference architectures, and roadmap initiatives Good understanding of cloud platforms such as Azure, AWS, and/or GCP Meritorious Qualifications Certifications such as CISSP, SABSA, CISM, CCSP, TOGAF, Azure/AWS Security certifications, or similar Experience from regulated industries or critical infrastructure environments Knowledge of security frameworks and standards such as NIST CSF, ISO 27001, CIS Controls, or similar Experience with SASE/SSE, microsegmentation, identity federation, or modern access control Experience supporting customers in large-scale transformation initiatives or security programs Why Orange Cyberdefense? There are many employers within IT and security. But few are as clearly focused on cybersecurity as we are. At Orange Cyberdefense, you do not just get a new assignment — you become part of an environment where your expertise is taken seriously, continuously developed, and applied where it makes the greatest impact. With us, you will: Work in a dedicated cybersecurity company with deep specialist expertise and a strong market position Be close to some of the industry’s most complex and interesting assignments, where security is business-critical Collaborate with highly experienced colleagues in architecture, advisory, SOC, incident response, offensive security, and managed services Continuously develop through training, certifications, knowledge sharing, and professional exchange Make a real impact — both in customer engagements and in how we develop our services and ways of working Work in a Challenger culture where initiative, accountability, and ideas are encouraged Have colleagues who are passionate about cybersecurity, support each other, and generously share knowledge Contribute to something bigger: building a safer digital society

Role purpose You will work together with our project team as an owner for electrical design - taking a data-centre project from early concept through detailed design, procurement, construction support and handover, aligned to Eco Data Center's reference architectures and governance. You’ll lead technical due diligence (TDD) for electrical scope, drive vendor selection, and make pragmatic trade-offs across resilience, protection philosophy, maintainability and cost. What you’ll own ·        End-to-end electrical fitout workstream plan, deliverables and decision log ·        Electrical interfaces across UPS, switchgear, generators, BMS/EPMS, fire and commissioning ·        TDD responses for electrical scope with traceable assumptions and evidence ·        Equipment and vendor strategy: specifications, bid evaluations, clarifications, FAT/SAT input ·        Design issue resolution during construction (RFIs, changes, non-conformance, energisation readiness) Key responsibilities ·        Lead the electrical design from early phase through construction, ensuring outputs are buildable, operable and maintainable ·        Produce and defend electrical design decisions (topology, redundancy, protection philosophy, short-circuit considerations, maintainability) ·        Translate customer requirements into robust fitout solutions, including options analysis and cost/benefit trade-offs ·        Write technical specifications and RFQs for major electrical packages; run structured bid evaluation and clarification processes ·        Act as technical representative with suppliers: clarification logs, performance criteria, testing/acceptance inputs ·        Control technical scope and change: identify risks early, prevent scope creep, drive decisions and closures ·        Work effectively in Nordic delivery environments: clear cadence, transparent stakeholder comms, pragmatic decision-making Typical electrical scope (indicative) ·        MV/LV distribution architecture and interfaces ·        Switchgear and protection/coordination intent (as required by project stage and governance) ·        UPS integration, generator interfaces, power quality considerations ·        Earthing/bonding philosophy and resilience considerations ·        Controls and monitoring interfaces (BMS/EPMS), alarms, commissioning readiness inputs ·        Energisation planning support and handover documentation requirements Key interfaces ·        CTO / technical governance (alignment to principles, waivers where needed) ·        Mechanical technical lead (cooling loads, sequencing, controls interfaces) ·        Controls/BMS/EPMS stakeholders (monitoring, alarms, integration approach, commissioning strategy) ·        Project/construction leadership (schedule, risks, changes, installation constraints, energisation readiness focus) ·        Procurement and key vendors (technical packs, evaluation, testing/acceptance criteria) What good looks like in the first 90 days ·        Electrical workstream plan established with dependencies, interfaces and decision gates ·        TDD responses delivered with strong traceability, timely closures and minimal rework ·        RFQ/spec packs issued for priority packages; bid evaluation framework running cleanly ·        Clear interface agreements across UPS/switchgear/generators/BMS/EPMS and site delivery teams ·        Practical construction support cadence in place (RFI triage, change control, energisation readiness focus) Experience and capabilities ·        Proven ownership of electrical design on mission-critical projects (data centres strongly preferred) ·        Deep electrical discipline expertise and confidence leading technical reviews and design decisions ·        Strong procurement and vendor management experience (specs, bid evaluations, technical clarifications) ·        Evidence-led communication: assumptions, options and rationale that stand up in review ·        Structured problem-solving under schedule pressure; comfortable managing high-stakes trade-offs ·        Strong collaboration style across multi-discipline teams and site delivery stakeholders

WHO WE ARE Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO—systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines. We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises—to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). THE ROLE You'll build the AI agent capabilities that power Sapien's autonomous finance operations. This means designing novel architectures for reasoning over complex financial data, implementing verifiable and observable agent workflows, and building systems that learn and adapt to each company's unique operations. This is a research-meets-product role. You'll work on cutting-edge agent capabilities—from observability and library learning to semantic search and multi-modal parsing—and ship them directly into production for customers. WHAT YOU'LL DO * Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows. * Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions. * Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies. * Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over. * Design benchmarking and evaluation suites that quantify Sapien's accuracy, reliability, and business impact across different customer workflows. WHAT WE'RE LOOKING FOR * Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch. * Experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures. * Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback. HOW YOU WORK (VALUES WE CARE ABOUT) * Adaptability: You thrive on diverse, open-ended problems. One day you're implementing a new agent architecture, the next you're debugging a customer data issue—and you bring the same intensity to both. * Ownership: You take problems from research paper to production. You don't wait for direction—you identify what needs to happen and drive it to completion. * Opinionated: You have strong technical perspectives on what works and what doesn't. You push back on approaches you disagree with and make the team's thinking sharper. * Mission-driven: You're energized by building AI that transforms how businesses run. You connect technical decisions to real customer outcomes and care deeply about the impact. * Collaborative excellence: You share knowledge, give thoughtful feedback, and invest in making the team better. You bring new ideas from papers and discussions to elevate everyone's thinking.

L&T Technology Services Limited (LTTS) is a global leader in Engineering and R&D (ER&D) services. We are hiring in Gothenburg, Sweden! Would you like to join a team with innovation, teamwork and entrepreneurship as the fundamental platform? We are looking for experienced System Engineers for the Automotive Industry. System Designer – Job Description As a System Designer, you will be responsible for defining and developing system architectures for vehicle stability and motion control functions such as ESC, Traction Control, and Yaw Control. You will translate performance, safety, and diagnostic requirements into robust system designs while collaborating closely with software, hardware, calibration, and feature teams to ensure end-to-end functionality. The role includes system documentation, concept evaluation through modeling and simulation, support for functional safety activities in compliance with ISO 26262, and participation in integration, verification, and validation activities, including SIL/HIL testing and vehicle-level assessments. Key Responsibilities: Develop system architectures and functional designs for vehicle motion control features. Define and manage system requirements, diagnostics, and safety-related specifications. Collaborate with cross-functional teams to deliver complete system solutions. Create and maintain system design documentation and interface definitions. Support simulations, concept studies, and performance evaluations. Contribute to functional safety activities, including HARA, safety concepts, and DFMEA. Support system integration, verification, and validation through SIL/HIL and vehicle testing Soft Skills Strong analytical and problem‑solving skills. Excellent communication and documentation abilities. Ability to work independently and collaborate in cross-functional environments. Education Bachelor’s or Master’s degree in Electrical, Electronics, Computer Science, Automotive, or related field. We believe you enjoy to work in teams, interact with people and have great communication skills. You are able to encourage, coach and develop to drive change and implementation in your surroundings. Interviews will be held continuously. To apply, please send in your application documents to the email address: LTTS.Sweden@Ltts.com. Enter the reference "System Engineer" in your application

ABOUT US STARK is a defense technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned vehicles that are software-defined, mass-scalable, and cost effective – giving NATO and its allies a decisive edge in the most contested environments. We’re focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today. YOUR MISSION As a UAV Technician, you will be the technical backbone of our flight test operations in the Nordics, specifically driving the development of the Virtus product line. Your mission is to ensure our platforms can withstand extreme cold and operate flawlessly. In addition, working in the Nordics will include utilizing systems adapted for Arctic climate. Preferably you have built FPV copters, deeply understand UAV architectures, and can troubleshoot complex avionics on the fly.  You will face unpredictable challenges in harsh environments and solve them with a highly skilled team. You will be responsible for diagnosing issues, fine-tuning heating element settings, replacing components on the spot, and providing critical, documented feedback to the engineering team in Germany. This is a highly versatile role. While your primary focus is technical troubleshooting and UAV maintenance, you will have the opportunity to expand your scope into other areas. Your work directly ensures that our systems are rugged, reliable, and ready for our Nordic customers. RESPONSIBILITIES UAV Assembly, Integration & Troubleshooting * Serve as the on-site technical expert for the Virtus platforms during flight testing. * Diagnose, fix, and replace components on the fly (e.g., flight controllers, ESCs, brushless motors, heating elements). * Fine-tune and troubleshoot anti-icing systems and cold-weather modifications directly in the field. * Understand and debug low-level hardware communications, including CAN bus, PWM signals, and power distribution systems. Flight Line & Technical Support * Preparation of mission: prepare all tools and equipments required for the mission (pre-flight, troubleshooting and mechanical and electrical rework if it is needed) * Pre-Flight Preparation: Support engineers and pilots during pre-flight checks: connecting and routing cables, managing battery charging systems, preparing airframes for test, and verifying ground support equipment readiness. * Telemetry & Data Support: Learn to operate basic data logging and monitoring tools to support post-flight data checks and anomaly tracking. * Airspace & Safety Assistance: Support safety procedures on-site including range clearance, observer duties, and adherence to SORA/EASA site safety requirements. Flight Test Operations & Engineering Interface * Act as the critical bridge between the Nordic flight test site and the engineering team in Germany. * Meticulously document hardware failures, system behaviors in extreme cold, and on-site modifications. * Take on Flight Test Engineer responsibilities: organize test requests, maintain test logs, and perform post-flight data analysis. * Utilize Mission Planner and/or QGroundControl to extract, read, and interpret flight logs. Your First 12 Months Timeframe Focus Month 0–1: Learn & Align Understand the Virtus system architecture, engineering workflows, and cold-weather modifications. Get hands-on with our avionics stack, anti-icing systems, and telemetry setups. Familiarize yourself with our specific ArduPilot/PX4 configurations. Month 1–3: Deploy & Troubleshoot Deploy to the Nordics and spend much time at test sites. Support the initial arctic test campaigns. Focus heavily on troubleshooting heating elements, replacing components in the field, and establishing a robust feedback loop with the Engineering team and suppliers. Month 3–6: Analyze & Optimize Take ownership of flight test data organization. Analyze flight logs using Mission Planner/QGroundControl to identify performance degradation in cold weather. Begin cross-training as a GCS Operator or Safety Pilot, depending on your background. Month 6–12: Scale & Mature Establish a repeatable, reliable field-testing workflow for the arctic product line. Serve as the definitive technical authority on site. Fully integrate into Flight Test Engineering or Piloting roles to run autonomous missions from end to end. QUALIFICATIONS Experience & Technical Background * Deep, hands-on experience building, tuning, and repairing UAVs (e.g., FPV quadcopters, custom fixed-wing drones). * Strong familiarity with open-source flight stacks, specifically ArduPilot and/or PX4. * Intimate knowledge of UAV hardware architecture: Flight Controllers, ESCs, Brushless Motors, Lithium Batteries, CAN bus, and PWM. * Experience with flight control software and ground stations, preferably Mission Planner and/or QGroundControl. * Soldering skills and the ability to modify or repair electronics in field conditions. Mindset & Working Style * The Tinkerer’s Mindset: You love figuring out how things work and aren't afraid to tear a system down to fix it. * Resilience & Pragmatism: Comfortable working outdoors in cold, harsh Norwegian environments, solving problems on the fly. * Structured, meticulous, and rigorous in documenting technical issues and communicating them to remote engineering teams. * Mission-driven, with a bias for fast iteration and practical, field-expedient solutions. Location: Stockholm and Norway (Flight Test Site) with close ties to the Munich (Germany) Area HQ. NICE TO HAVE * RC Piloting experience (familiarity and ability to fly multirotors and/or fixed-wing aircraft manually, with and without stabilization). * Previous experience as a Flight Test Engineer (managing test cards, data analysis, test planning). * Experience with extreme cold weather operations, anti-icing systems, or thermal management in electronics. * Background in defense, robotics, or aerospace testing.

The opportunity As a Business Intelligence Analyst within our BST GI Analytics & Data Platform organization, you will play a pivotal role in bridging the gap between complex data and strategic action for our Grid Integration business. You will be responsible for designing and delivering customer-driven BI applications that empower our Business unit-wide teams to make informed decisions. By ensuring that our front-end solutions are scalable, user-friendly, and governed by global standards, you will contribute directly to our digital transformation journey and the ambitious goal of improving business efficiency through data transparency. How you’ll make an impact Develop and maintain a roadmap for new, customer-driven BI applications, ensuring that design and report interfaces meet the specific needs of our GI projects Ensure that all BI implementations follow the established structure and guidelines. You will drive Master Data alignment and ensure data validity through rigorous quality assurance and interface management with our data warehouse storage Actively identify and capture new Business Intelligence demands across the organization, translating business requirements into reusable data flow architectures Run BI training sessions to empower the organization, managing the application lifecycle through dedicated support, service request resolution, and the proactive use of our ticketing systems Ensure all initiatives follow PPS (Project Power System) process guidelines, contributing to a transparent and auditable environment that supports both internal goals and regulatory requirements Your background Solid Experience in BI design and report development, including a deep understanding of data collection methods and interface management with data warehouse environments Proven ability to create and maintain reusable data flow architectures and ensure alignment with Master Data management principles Experience in maintaining existing BI solutions, managing application roadmaps, and utilizing ticket systems to solve service requests and issues Exceptional skills in identifying business demands and communicating technical structures to non-technical stakeholders, including conducting training sessions for diverse user groups A firm commitment to following process guidelines (such as PPS) and ensuring that local implementations adhere to global organizational structures and BI guidelines Focus on data quality assurance and the ability to ensure data validity across complex, large-scale IT initiatives What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! Recruiting Manager Jimmy Cavanagh will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Philip Bengtsson, +46 107-38 25 17; Unionen: Michael Fosselius, +46 107-38 46 19; Ledarna: Frank Hollstedt, +46 107-38 70 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com

Job Description WHAT YOU’LL DO As a Lead SAP Software Engineer, you will lead the engineering direction of our master data team, building and modernizing the master data solutions which are the backbone of H&M's SAP landscape. You will provide technical leadership, define scalable solutions and architectures, mentor engineers across Stockholm and Bengaluru, and drive engineering excellence through modern development practices in SAP ABAP, CPI, BTP etc. You will be working closely with Product Managers, Enterprise Architects, and business stakeholders, you will deliver secure, resilient, and high-performing master data solutions that enable critical business operations. WHO YOU’LL WORK WITH You will collaborate with Software Engineers, Product Managers, Enterprise Architects, Scrum Masters, and business stakeholders across global teams in Stockholm and Bengaluru. Together, you'll define technical roadmap of SAP master data solutions. WHO YOU ARE We are looking for people with… 7+ years of software engineering experience, including experience in a Technical Lead or Staff Engineer role. Strong experience in SAP ABAP Development, Object-Oriented ABAP, design patterns, clean coding principles, reusable frameworks, and enterprise application architecture. Strong experience in SAP BTP Architecture, including the ability to architect composable, event-driven, and API-based solutions across SAP BTP and on-premises systems. Strong experience in Clean Core implementation, SAP Application Extension Methodology, ABAP Cloud, In-App Extensibility, and Side-by-Side Extensions. Strong experience in ABAP CDS, Code Pushdown, HANA Modelling, and performance optimization for effective data modelling and database management. Strong expertise in SAP BTP RAP (RESTful ABAP Programming Model), OData services, API development, and modern ABAP development practices. Strong hands-on experience with classical ABAP concepts including Reports, ALV, Data Dictionary, Function Modules, BAPIs, RFCs, IDocs, Enhancements, User Exits, Customer Exits, BAdIs, and interface development. Strong troubleshooting and ABAP debugging skills, including experience with complex production support scenarios, update debugging, background debugging, RFC debugging, SQL Trace (ST05), Runtime Analysis (SAT), performance tuning, and root-cause analysis. Proficiency in unit testing with ABAP Unit, conducting code reviews, enforcing development standards, ensuring maintainable and high-quality code, and driving continuous improvement initiatives. Ability to mentor development teams, review technical designs, provide architecture guidance, and drive adoption of SAP best practices across projects and programs. And people who are responsible for… To provide simple, efficient and scalable E-2-E SAP solutions primarily in SAP ECC, SAP MDG, SAP CRM systems which enables us to ensure reliable data of highest quality to all consuming applications. To provide quick and efficient Master Data Maintenance services and Roll Out of Master Data Solutions in Production systems primarily in SAP ECC, SAP MDG, SAP CRM systems. To design & develop New Information-Steward (IS) Reports and generate periodic IS reports for teams having Data monitoring requirements. Added Advantage to know.. Hands-on experience with SAP Integration Suite, CPI, API Management, Event Mesh, Solace, Kafka, and event-driven integration architectures. Knowledge of SAP Fiori, SAPUI5, Fiori Elements, Gateway, and modern SAP UX technologies. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer attractive benefits, flexible ways of working, and extensive opportunities for professional growth across our global organization. You'll work on business-critical enterprise platforms, collaborate with talented global engineering teams, and help shape the future of supply chain technology using modern cloud, integration, and AI-driven engineering practices. JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here.

FEQ327R156 Mission  As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: * Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.   * Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems * Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains * Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks * Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: * 7+ years of hands-on industry ML experience in at least one of the following: * ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. * AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Experience with data engineering, or a good understanding of the concept of data engineering * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through ML & AI * [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

We’re looking for a Senior Data Engineer to join Apadmi and establish a high-performing data engineering capability for one of our key strategic healthcare accounts. In this senior, hands-on role, you will provide technical leadership across a specialist team of engineers working with cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. This is the perfect opportunity for someone technically deep who has the patience, credibility, and leadership skills to embed modern engineering discipline into a growing data function. You will sit at the intersection of technology delivery and data engineering, owning the data platform roadmap and governing the quality of all data outputs. Operating as an agile team leader, you will collaborate closely with operational, clinical, and commercial stakeholders to ensure the delivery of trusted, scalable, and beautifully documented data products. You'll be responsible for bringing software engineering rigour to a team expanding its technical maturity, establishing the right ways of working from the outset. As a Senior Data Engineer, you will define and own the data platform architecture while establishing team-wide standards across source control, environment management, peer reviews, and release processes. You will blend high-level strategy with hands-on automation, ensuring data quality checks are built-in from day one. Additionally, you will guide your squad through Agile sprint ceremonies and line-manage engineers to foster a culture of quality. What you'll be working on * Define and own the technical architecture of the cloud data platform, ingestion pipelines, and semantic reporting layer. * Establish and enforce core engineering standards, including Git-based source control, branching strategies, environment management, and peer code reviews. * Design scalable, maintainable data models and pipeline architectures that shift the function from reactive data handling to reusable data products. * Line-manage and mentor a team of three engineers, supporting their professional development in modern engineering discipline through collaborative working. * Drive the adoption of Agile methodologies, including sprint planning, stand-ups, retrospectives, and structured backlog refinement. * Proactively automate recurring workflows, forecasting processes, and ingestion monitoring to reduce manual effort and increase reliability. * Embed strict data quality checks at the point of ingestion and establish data dictionaries to secure strict metric governance before data reaches external audiences. * Translate complex business requirements into deliverable user stories, providing accurate effort estimates and managing technical dependencies. What you’ll bring to the team You are a solution-driven data leader who has spent time working within or alongside structured software development teams. You understand the rigour of technology delivery functions and possess a low tolerance for ambiguous data definitions. You are highly collaborative, capable of managing complex roadmaps, and excel at translating technical trade-offs into clear insights for non-technical stakeholders. * Proven experience in a senior data engineering or tech lead role with direct line management responsibility. * Strong hands-on experience with cloud data platforms, ideally utilizing Azure Data Factory, Azure SQL, or Synapse Analytics. * Demonstrable experience implementing CI/CD pipelines, automated testing, environment management, and Git practices within a data team. * Deep understanding of fact/dimension design, semantic layers, and advanced BI tool development (ideally Power BI and DAX). * Solid coding or scripting experience (ideally Python) used to automate data workflows and solve complex pipeline challenges. * Track record of introducing and sustaining agile delivery practices, backlog management, and iterative delivery metrics. * Exceptional communication skills to engage credibly with senior operational, clinical, and commercial business leaders. * Experience establishing data functions from a low baseline, familiarity with dbt, or experience working within highly regulated data environments like healthcare would be beneficial.

We are looking for a highly experienced Product Cybersecurity Expert to join our client within the automotive industry and drive the development of secure vehicle platforms. This role requires extensive expertise in cybersecurity design, architecture, and compliance, with a strong focus on the automotive domain. The position typically requires 12+ years of relevant experience and recognition as an expert in the field. What you will do As a Cybersecurity Senior Expert, you will: 1. Develop cybersecurity technical solutions for vehicle architectures Perform Threat Analysis and Risk Assessments (TARA) for vehicle platforms Define and implement cybersecurity requirements from standards and external partners Conduct vulnerability analyses to identify and mitigate potential threats and weaknesses 2. Harmonize cybersecurity concepts across systems Define overall vehicle-level items and dependencies Provide guidance on technical assumptions and CS concept selection Align requirements with external partners where applicable Define verification and validation strategies Consolidate cybersecurity cases across systems and functions 3. Ensure end-to-end vehicle-level cybersecurity integrity Lead design and architecture solutions for vehicle platforms Collaborate with cross-functional teams to align cybersecurity solutions with vehicle programs and platforms Consolidate cybersecurity cases created by functional and component teams 4. Strengthen cybersecurity processes Contribute to the development and continuous improvement of cybersecurity processes Ensure alignment with compliance, regulations (UNECE R155), standards (ISO/SAE 21434), and internal policies Support integration of cybersecurity into all stages of product development Qualifications Required B.Sc. or M.Sc. in Computer Science, Electronics, or equivalent Proven experience leading cybersecurity activities in vehicle platforms/programs, including type approval Strong background in secure architecture design or cybersecurity concept design Hands-on experience as a Cybersecurity Engineer or Architect in embedded systems Familiarity with automotive embedded system design, network protocols, and communication technologies (CAN, Ethernet, wireless) Deep understanding of cybersecurity best practices, including cryptography and CS concepts Knowledge of standards and regulations: ISO/SAE 21434, UNECE R155, CSMS Experience in TARA execution for complex systems Strong analytical mindset with excellent communication and collaboration skills Experience working with agile methods Knowledge of AI integration and tool automation (e.g., AI agents, LLMs) is a strong advantage Personal skills: You have excellent communication and collaboration skills You can easily create a network and work in cross functional international teams Fluent in English both spoken and written. Swedish is a plus You are a problem solver, and work in a structured way Curious, flexible and supportive Looking forward to meeting you.

SUMMARY OF THE ROLE: As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. This is a unique opportunity to join as one of the early engineering team members of a well-funded startup building breakthrough applications of LLMs and AI agents in cybersecurity. You'll take full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration, working closely with our CTO and product teams to transform cutting-edge AI research into robust, scalable solutions that solve real security challenges. Your success will be measured by agent performance improvements and product innovation impact, not just technical metrics. This role is perfect for a hands-on ML engineer who has scaled production ML systems across multiple companies, thinks like a product builder, and wants to drive the actual productionization of LLMs and ML to solve significant pain points. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Build Production-Grade Evaluation Systems: Design and implement comprehensive evaluation frameworks that measure agent performance, track improvements over time, and ensure our AI systems deliver consistent value to customers * Drive Experimentation-to-Production Pipeline: Own the entire ML lifecycle from prototype to production, building scalable systems that enable rapid iteration while maintaining reliability and performance in customer environments * Enable Cross-Team ML Integration: Work closely with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user value and product differentiation * Optimize AI Agent Performance: Continuously improve our AI agents through systematic experimentation, prompt engineering, and architectural enhancements, measuring success through customer impact and system performance * Scale ML Infrastructure: Build the foundational ML systems, monitoring, and tooling that will support our growth from startup to scale, ensuring we can deploy new capabilities quickly without compromising quality * Partner with Engineering Leadership: Collaborate directly with our CTO through regular check-ins and strategic alignment while operating with high autonomy and self-direction in day-to-day execution * Mentor Through Excellence: Provide natural mentorship to junior ML engineers through code reviews, technical guidance, and sharing practical experience from building production ML systems WHAT YOU NEED TO BE SUCCESSFUL: * Proven Production ML Experience: 6+ years building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments * Deep Neural Networks Foundation: Strong background in classical neural networks and deep learning fundamentals before specializing in modern LLMs and transformer architectures - you understand the foundations, not just the latest tools * Product-Focused ML Mindset: Experience building ML systems that solve real business problems, with a track record of integrating classification, prediction, or recommendation systems into actual products customers use * Multi-Company Perspective: Experience across multiple organizations (scale-ups, startups, or combination), giving you practical knowledge of what tools to build vs buy and how to avoid over-engineering * Technical Versatility: Strong Python skills with flexibility across ML frameworks and tools - comfortable adapting to our stack including LangChain, evaluation frameworks, and workflow orchestration tools like Temporal * Self-Directed Leadership: Ability to operate autonomously while maintaining close alignment with leadership, comfortable with frequent check-ins but capable of driving projects independently * Cross-Functional Collaboration: Experience working closely with product teams and potentially customers, translating technical capabilities into business value and user experiences * Nice to Haves: * Experience with AI agents, LLMs, or modern generative AI applications * Cybersecurity domain knowledge or experience applying ML to security challenges * Background at ML-first companies or organizations where ML was core to the product * Experience with modern MLOps practices and cloud-based ML infrastructure * Track record of optimizing model performance and controlling AI system costs WHY JOIN US: * Real-World AI Impact: Drive the actual productionization of LLMs and machine learning to solve significant cybersecurity pain points - your work will directly protect organizations from real threats, not just optimize internal metrics * Technical Leadership Opportunity: Work directly with our CTO on cutting-edge ML infrastructure while having the autonomy to shape technical decisions and build systems that scale with our hypergrowth * Expert Team Partnership: Join a team of hands-on leaders with experience in Big Tech and Scale-ups, including leadership team members who have been part of multiple acquisitions and an IPO * Build the AI-Native Future: Shape how generative AI transforms cybersecurity from the ground up, establishing ML practices and technical standards that will define the industry * Multiple Growth Pathways: Clear opportunities to grow into Head of ML Engineering, become a domain technical lead, move into customer-facing technical roles, or excel as a senior individual contributor - the choice is yours based on your interests and our needs * Breakthrough Technology: Work at the intersection of generative AI and cybersecurity, building solutions that leverage the latest advances in LLMs and AI agents to solve some of the most pressing challenges security teams face today