Vestas, a global leader in wind technology, is seeking an ML Engineer specializing in NLP and GenAI to develop and scale AI/ML solutions embedded in digital products.

Company: Vestas

Role: ML Engineer (NLP/GenAI)

Location: Chennai, TN, IN, 600 117

Experience:

4-6 years of experience in software engineering, data or AI/ML solution development
2-4 years of experience in AI/ML or NLP-focused solution development with exposure to GenAI systems

Key Skills:

GenAI
agentic AI
LLMs
RAG pipelines
prompt engineering
tool integration
context orchestration
function/tool calling
APIs
microservices
containerized environments
version control
testing
CI/CD basics
LLM evaluation
LLMOps
embeddings
vector databases
software engineering
AI-assisted development tools
GitHub Copilot
Claude Code

Qualification:

Bachelor's degree in Computer Science, AI Engineering or related field
Master's degree in Computer Science, AI Engineering or related field

Role Focus:

Collaborate with product owner, ML engineers, application developers and business SMEs to develop and scale GenAI and agent-based capabilities
Contribute to design, development and deployment of GenAI and agentic systems supporting reasoning, planning, and semi-autonomous workflows
Build and enhance components of GenAI solutions using LLMs, RAG pipelines, prompt engineering and tool integration
Develop intelligent workflows using prompt engineering, context orchestration and function/tool calling
Integrate GenAI capabilities into enterprise applications using APIs, microservices, and containerized environments
Collaborate with senior AI engineers to implement scalable, reliable GenAI systems following design patterns and standards
Participate in end-to-end delivery of GenAI initiatives including development, testing and deployment
Continuously learn and adopt best practices in GenAI, NLP, and agentic systems development

Additional responsibilities:

Contribute to building scalable and reliable GenAI systems focusing on performance and maintainability
Understand standard design patterns and engineering practices for LLM-based applications
Deploy and integrate GenAI solutions into production environments
Implement intelligent workflows combining human-in-the-loop and automated processes under guidance
Develop and integrate services using APIs, microservices and modern engineering practices
Collaborate effectively within distributed teams across geographies
Work with senior engineers and cross-functional stakeholders
Demonstrate continuous learning mindset with interest in GenAI, NLP and agentic systems

Nice to have:

Familiarity with LLM evaluation concepts
Basic understanding of LLMOps practices such as monitoring, versioning, and cost awareness
Exposure to agentic workflows including tool usage, chaining, or multi-step reasoning
Proficiency in leveraging AI-assisted development tools to improve productivity and code quality

Other:

Opportunity to impact climate change and future generations through AI/ML solutions in renewable energy
Join a global team focused on continuous learning, knowledge sharing and agentic autonomous flows
Work in a multicultural Denmark-India setup valuing trust, collaboration and mutual support
Autonomy to influence direction, approaches, and outcomes in scaling agentic autonomous flows
Supportive and inclusive workplace promoting well-being and work-life balance
Career growth opportunities in a global organization
Commitment to fair hiring and diversity, equity, and inclusion
Awareness of recruitment fraud warnings

ML Engineer (NLP/GenAI)

Skills Required

Description