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Senior ML & AI Engineer

Veritaz AB

Okänd ort

Previous experience is desired

28 days left
to apply for the job

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 Senior ML & AI Engineer to support the development and scaling of Generative AI and advanced AI solutions.

What you will work on

  • Designing and developing Generative AI solutions using LLMs, RAG, embeddings, and prompt engineering
  • Building and deploying production-grade AI services and applications
  • Developing AI services in Python, primarily using FastAPI
  • Deploying AI workloads using serverless and cloud-native architectures
  • Working across multi-cloud environments (Azure, AWS, GCP)
  • Integrating AI services with APIs, vector databases, and data platforms
  • Implementing MLOps practices and CI/CD pipelines for AI systems
  • Ensuring scalability, reliability, and performance of AI solutions
  • Collaborating with cross-functional teams and business stakeholders
  • Mentoring junior engineers and reviewing technical implementations

What you bring

  • 6–10+ years of experience in machine learning and AI engineering roles
  • Strong hands-on experience with Generative AI, LLMs, RAG, and embeddings
  • Proven experience designing and deploying production AI systems
  • Strong Python development skills, preferably with FastAPI
  • Experience working in Azure, AWS, and/or GCP environments
  • Experience with serverless architectures and cloud-native deployments
  • Solid understanding of APIs, vector databases, and MLOps workflows
  • Experience with CI/CD pipelines and automated deployment processes
  • Strong technical leadership and mentoring capabilities
  • Ability to collaborate with technical and non-technical stakeholders
  • Clear communication skills and strong problem-solving mindset
  • Proactive, structured, and solution-oriented working style
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