Essential requirements:
Strong experience in ML engineering and GenAI (LLMs RAG embeddings prompt engineering)
Hands-on experience with multi-cloud environments (Azure AWS GCP)
Proven experience designing and deploying production-grade AI solutions
Strong experience in building AI services using Python (FastAPI preferred)
Experience deploying AI workloads using serverless architectures
Experience with APIs vector databases MLOps and CI/CD pipelines
Ability to mentor junior engineers and collaborate closely with stakeholders
Soft Skills & Profile Expectation:
Strong ownership mindset with ability to lead AI solution development
Collaborative and comfortable working with cross-functional stakeholders
Ability to mentor junior engineers and review technical work
Clear communicator who can explain technical concepts to non-technical stakeholders
Proactive structured and solution-oriented approach
Please explain how you meet all the requirements when applying.
Utilization: 100%
Location: Stockholm
Period:
Last day to apply:
We present regularly. This means that we sometimes remove the assignements from our website before the final application deadline. If you are interested in an assignement we recommend that you submit your application as soon as possible.
Vi är en konsultbyrå som består av drivna och branschkunniga personer i blandade åldrar med mångårig samlad erfarenhet och strävar efter att bli en komplett IT-konsultleverantör. Vi erbjuder kompetenser inom bl. a. Systemutveckling, Infrastruktur, Projektledning, Test, IT-säkerhet, Au ... View more