AI/ML Engineer: GenAI & Agentic Systems

Vestas

Aarhus

On-site

DKK 900,000 - 1,200,000

Full time

14 days+

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Job summary

Vestas in Aarhus, Denmark, seeks an AI/ML Engineer to design, build and scale AI/ML, GenAI and agentic solutions embedded in digital products. You will work with product owners, ML engineers and business stakeholders across Denmark and India to deliver production-ready capabilities.

The role emphasizes reasoning-driven AI, scalable pipelines, robust governance and responsible AI adoption, with opportunities to grow across seniority levels and contribute to renewable energy outcomes.

Qualifications

  • Master's degree or equivalent practical experience in CS/DS/engineering.
  • Deep expertise in NLP, GenAI, agentic systems, CV, ML engineering.
  • 5+ years designing, delivering and scaling production AI/ML solutions.
  • Strong Python and production-grade coding with ML frameworks.
  • Cloud platforms (Azure, Snowflake) and CI/CD in IaC.
  • RESTful APIs, Docker, Kubernetes in production.

Responsibilities

  • Collaborate with product owners, ML engineers, app developers and business SMEs to build ML/GenAI and agent-based systems embedded in digital products.
  • Validate high-impact ML/GenAI use cases and assess feasibility.
  • Productize and scale ML/GenAI systems capable of reasoning and planning.
  • Integrate AI capabilities into enterprise applications with human-in-the-loop and self-directed decisions.
  • Advise stakeholders on responsible AI adoption balancing experimentation with production considerations.
  • Establish reusable patterns and engineering standards for scalable AI delivery.

Skills

Python
ML Engineering
GenAI
RESTful APIs
Docker
Kubernetes
CI/CD
Stakeholder engagement
ML frameworks

Education

Master's degree in CS/DS/Engineering
Equivalent practical experience

Tools

TensorFlow
PyTorch
Langchain
Azure
Snowflake

Job description

Vestas in Aarhus, Denmark, seeks an AI/ML Engineer to design, build and scale AI/ML, GenAI and agentic solutions embedded in digital products. You will work with product owners, ML engineers and business stakeholders across Denmark and India to deliver production-ready capabilities.

The role emphasizes reasoning-driven AI, scalable pipelines, robust governance and responsible AI adoption, with opportunities to grow across seniority levels and contribute to renewable energy outcomes.

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