
RebTel Networks AB · Stockholm
What will you do? As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front...
What will you do?
As a AI/ML Engineer at Rebtel you will define how AI is done at Rebtel. What tooling we standardise on, how we evaluate models we put in front of real users, what "good" looks like for our prompts and our pipelines. AI is going from a side project to the core of how Rebtel operates and what we ship to our users. We're hiring the second engineer on our ML/AI subteam to help build it classical ML for the business, LLM-powered systems for the product, and a clear production mindset on both.
You'll sit inside the Data team, report to our Head of Data, and partner with one other ML/AI engineer to shape this capability from the ground up.
Areas of ownership: You'll own work across two complementary tracks, and you'll ship in both.
Classical ML, in production, for operational leverage
Risk and fraud models across payments, top-ups, and account behaviour
Churn prediction and retention modelling on a user base of a million-plus
Forecasting, pricing, segmentation, and the next batch of operational problems we haven't tackled yet
Owning models end-to-end scoping with stakeholders, building, deploying, monitoring, retraining
LLMs and AI agents, from internal automation to in-product features
Start with our customer support agents and automations: RAG pipelines, prompt orchestration, tool-use, evaluation harnesses
Move LLM capability into the product as user-facing features
Help guide the company on where AI actually creates leverage, what to build, what to buy, what to ignore and turn the good ideas into shipped systems
You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office
4+ years of hands-on ML engineering in Python, with real production ownership not just notebooks
Strong fundamentals in classical ML: feature engineering, model selection, validation, and the unglamorous parts of keeping a model healthy in prod
A genuine production mindset: monitoring, retraining, eval harnesses, CI/CD for models, and the instinct to debug when something drifts at 2am
Comfort working the whole loop: stakeholder scoping → data → model → deployment → measurement → iteration
Strong written and spoken English, and the ability to translate between business problems and ML ones
Hands-on experience with LLM frameworks — LangChain, LangGraph, LlamaIndex, or equivalents
Built RAG systems, agentic workflows, or LLM-backed products that real users (or real internal teams) actually used
Comfortable with vector databases, embeddings, prompt evaluation, and measuring LLM systems with something more rigorous than vibes
Obsession with staying up-to-date on developments in the AI space
Experience with a major cloud (AWS / GCP / Azure), containers, and a modern data stack
Experience in MLOps tooling: MLflow, Airflow, Kubernetes and feature stores is a plus
Background in fintech, payments, telecom, or other regulated / operational domains is a plus
Why Rebtel?
Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next.
This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide.
At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us:
Pension Plan
Health Checkups, Influenza shots and Private Medical Insurance
Dental Insurance
Occupational insurance
Wellness allowance (5,000 SEK)
Discount on gym memberships
Bonus program
Extra parental pay
30 days annual vacation
Monday breakfasts
Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition.
We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
As a Gameplay AI / ML Engineer at Embark, you will be working on ARC Raiders, alongside some of the most talented people in the games industry. We believe that great games are made in creative environments, where builds are always playable, and teams can move fast and test as many ideas as possible. In close collaboration with our designers, you will create easy-to-use systems that enable us to iterate quickly and that encourage experimentation. Our AI team consists of a set of gameplay engineers, working on "classic" gameplay AI, and a set of Gameplay / ML engineers that further expand our tech in what is possible to achieve in AI for games. In this role you will work closely with both our ML team and Gameplay AI team, training, building, innovating and researching new tech that can further advance our emergent AI experience in ARC Raiders. Example of responsibilities Work closely with stakeholders and game teams to prototype new RL locomotion platforms Research, develop, and train RL models Provide model performance analyses and visualizations Improving our game-side training framework to make it easier to train, create and debug our models and platforms. Look for opportunities to apply new tech in gameplay AI to promote more emergent gameplay Stay current with new research and share that knowledge with the rest of the team We would love if you have A creative and curious mind A strong C++ background Experience in Unreal Engine A strong background in gameplay engineering Can speak "design" Professional English communication skills. Additionally, we think it would be a great bonus if you have Experience designing reward functions Experience training curriculums Experience from implementing and evaluating ML methods Knowledge about reinforcement learning-specific optimization algorithms Some programming skills in Python At Embark we offer competitive salaries, passionate colleagues to share knowledge with and much more, but most of all we invite you to take part of a journey into the unknown, to build creative, surprising and beautiful experiences together. We welcome game makers of all sex, class, colour, age, gender identity, education, religion, opinion, culture, nation of origin, language, sexual orientation, shape, size, and ability. Did we leave anyone out? Well, we welcome you, too! We think that the gaming industry is made better when everyone has a seat at the table. Be yourself at Embark and make games while doing so. Please apply with confidence. We can’t wait to hear from you (in English)!
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.
Är du en erfaren AI- och Data Engineer som vill arbeta med moderna dataplattformar och AI-lösningar i en tekniskt avancerad miljö? Nu söker vi dig som vill ta en nyckelroll i utvecklingen av datadrivna produkter och AI-baserade tjänster hos en av våra kunder. Det här är ett konsultuppdrag på sju månader med start enligt överenskommelse. Om rollen I den här rollen får du arbeta i gränslandet mellan data engineering och AI. Du kommer att utveckla och förvalta dataplattformar, bygga robusta dataflöden och utveckla AI-drivna funktioner baserade på moderna språkmodeller (LLM). Rollen innebär ett helhetsansvar – från design och utveckling till driftsättning, övervakning och vidareutveckling. Du blir en del av ett tvärfunktionellt utvecklingsteam bestående av data engineers, backend- och fullstackutvecklare, produktägare och designers. Arbetet sker i en modern molnmiljö med stort fokus på kvalitet, automatisering och AI-stödda utvecklingsverktyg. Arbetsuppgifter Du kommer bland annat att: • Utveckla och vidareutveckla pipelines för insamling av data från externa datakällor via REST- och GraphQL-API, SFTP, eventströmmar och filöverföringar. • Bygga och underhålla datamodeller i dbt mot moderna datalager som BigQuery eller Snowflake. • Utveckla AI-baserade lösningar med hjälp av LLM, Retrieval Augmented Generation (RAG), agentramverk och MCP. • Säkerställa datakvalitet genom automatiserade kontroller, monitorering och utvärdering av AI-lösningar. • Migrera befintliga dataintegrationer och avveckla äldre lösningar. • Utveckla och underhålla produktionskritiska tjänster i Python, Java och TypeScript. • Arbeta med CI/CD, automatiserade tester och Infrastructure as Code med Terraform. • Samarbeta nära utvecklare, produktägare och andra intressenter genom hela utvecklingsprocessen. Vi söker dig som har • Minst fem års erfarenhet inom Data Engineering, Backend-utveckling eller AI/ML Engineering. • Mycket goda kunskaper i Python. • Erfarenhet av att bygga AI-lösningar med LLM, exempelvis RAG eller agentbaserade lösningar. • Erfarenhet av Google Cloud Platform och moderna dataplattformar såsom BigQuery eller Snowflake. • Erfarenhet av dbt. • God erfarenhet av Terraform, Docker och Kubernetes. • Erfarenhet av API-integrationer (REST och GraphQL) samt orkestrering av datapipelines. • Erfarenhet av CI/CD, kodgranskning och automatiserade tester. • Förmåga att arbeta självständigt och ta ansvar för lösningar i produktionsmiljö. Det är meriterande om du även har erfarenhet av: • Java eller TypeScript. • Kafka, Spark eller Beam. • Graph-databaser, vektordatabaser eller andra NoSQL-lösningar. • Finans-, investment- eller annan verksamhet med höga krav på kvalitet och leverans. Vi erbjuder Du blir en del av ett högpresterande utvecklingsteam där modern teknik, AI och dataplattformar står i centrum. Här får du möjlighet att arbeta med den senaste tekniken, ta stort eget ansvar och bidra till lösningar som används i verksamhetens mest affärskritiska processer. Om uppdraget Placering: Stockholm Omfattning: Heltid Anställningsform: Konsultuppdrag, 7 månader (föräldravikariat) Start: Enligt överenskommelse Låter det intressant? Skicka in din ansökan redan idag – urval sker löpande.