VE
Full time
🤖 AI / ML
ML Engineer (NLP/GenAI) at Vestas
Listed by DevShelfHub
Chennai, Tamil Nadu, India
Hybrid
Senior · 6–10 yrs
About the Role
Wind energy leaders are deploying GenAI and NLP at scale for knowledge management and intelligent automation. Vestas is hiring an ML Engineer (NLP/GenAI) in Chennai to design, build, and deploy production-grade ML and GenAI solutions across the organization.
What you'll do
- Design and implement scalable ML systems including data pipelines, training workflows, and real-time inference
- Develop and deploy generative AI applications including RAG pipelines, copilots, and intelligent assistants
- Build and integrate AI solutions into production using APIs, microservices, and model-serving frameworks
- Develop predictive models, optimization algorithms, and deep learning systems
- Apply statistical methods, feature engineering, and experimentation frameworks
- Implement LLM-based applications including prompt engineering, embeddings, and vector search
- Contribute to agent-based workflows and orchestration frameworks
- Collaborate with product managers, business stakeholders, and engineering teams
- Enable AI-driven decision-making across planning and execution
What we're looking for
- 6+ years of experience (2–5 years core ML/NLP/GenAI)
- Strong programming expertise in Python
- Hands-on experience with PyTorch and TensorFlow
- Experience with LLMs, RAG, embeddings, and vector databases
Skills & Technologies
Required
6+ years of experience (2–5 years core ML/NLP/GenAI)
Strong programming expertise in Python
Hands-on experience with PyTorch and TensorFlow
Experience with LLMs, RAG, embeddings, and vector databases
Understanding of distributed systems and scalable AI architectures
Experience with MLOps: CI/CD, monitoring, model versioning
Familiarity with Azure ML and Azure OpenAI
Strong foundation in ML, deep learning, and statistics
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers hands-on work building enterprise GenAI solutions — RAG pipelines, copilots, and intelligent assistants — on Azure with MLOps best practices in the renewable energy sector.
- Design and implement scalable ML systems with data pipelines and real-time inference
- Develop and deploy generative AI applications: RAG pipelines, enterprise copilots, intelligent assistants
- Build predictive models, optimization algorithms, and deep learning systems
- Implement LLM-based applications: prompt engineering, embeddings, vector search
- Contribute to agent-based workflows and orchestration frameworks
- Work with Azure ML, Azure OpenAI, and cloud-native AI infrastructure
- Apply MLOps: CI/CD, monitoring, model versioning, and deployment pipelines
- Collaborate with cross-functional teams on AI-driven decision-making
- Part of a global leader in sustainable wind energy
- Chennai-based role with enterprise-scale AI impact
About Vestas
Vestas is the energy industry's global partner on sustainable energy solutions. The company designs, manufactures, installs, and services wind turbines across the globe, with 30,000+ employees, manufacturing in 15 countries, and installation in over 80 countries.
- Industry
- Technology
- Company Size
- 500+
- Website
- vestas.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 6–10 years
- Location
- Chennai, Tamil Nadu, India
- Work Mode
- Hybrid
- Category
- AI / ML
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