Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are looking for a technically strong Senior AI Engineer / Machine Learning Engineer
What You Will Work On
Design and develop production-grade AI and ML solutions
Build and operate AI-powered applications and platforms
Translate business and analytical requirements into scalable production solutions
Work with Python for AI/ML and software engineering
Implement MLOps and LLMOps practices
Build CI/CD pipelines, automation, monitoring and observability
Develop and manage solutions on Google Cloud Platform (GCP)
Manage cloud infrastructure using Infrastructure as Code (IaC) and Terraform
Work with Docker and Kubernetes
Transform Data Science prototypes and models into production-ready solutions
Develop scalable and maintainable cloud-native applications
Collaborate with Data Scientists, Data Engineers, Product Owners and business stakeholders
Contribute to AI tooling, platforms and infrastructure supporting AI products at scale
Support secure, reliable and governed AI solutions in production
What You Bring
Master's degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, Physics or related field
Strong software engineering background
Excellent Python programming skills
Proven experience designing, developing, deploying and operating production-grade AI solutions
Strong understanding of software architecture and distributed systems
Experience with cloud-native application development
Experience with MLOps and/or LLMOps
Knowledge of CI/CD, version control, automation, monitoring and observability
Hands-on experience with Google Cloud Platform (GCP)
Experience with Infrastructure as Code, preferably Terraform
Hands-on experience with Docker and Kubernetes
Ability to turn AI/ML prototypes into production-ready applications
Strong problem-solving and engineering judgment
Ability to independently drive initiatives from concept through production
Strong collaboration and communication skills
Pragmatic, hands-on and delivery-focused mindset