Digital Solutions > Digital Development Platform > Autonomous Flows > AI/ML Chapter

At the core of Data & AI organization, the AI/ML Chapter serves as the capability home for AI/ML, supporting craft excellence, skills development and scalable delivery practices across Vestas. With a global footprint spanning India and Denmark, the team partners closely with product owners and engineering teams to build and scale AI/ML solutions embedded in digital products across the value chain.

The chapter focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases, providing consistent know-how across product areas, ensuring readiness for emerging paradigms such as LLMs and agentic AI, and enabling scalable delivery through a balanced mix of internal capability development and strategic partnerships. Through solid engineering, data-centricity, and close business collaboration, the team advances AI/ML delivery practices and enables impactful solutions that improve visibility, optimization and innovation across the enterprise.

Responsibilities

- This role carries significant informal leadership, with a clear focus on accelerating delivery and improving AI/ML impact across the organization

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, with 10+ years of experience in software engineering, data or analytics, focusing on digital solutions development

AI/ML Solutions Experience :

- 4-6 years in ML engineering, specializing in designing, building and productionizing ML solutions with continuous delivery and deployment
- Solid practical experience in ML modelling, experiment tracking and building scalable training and inference pipelines using cloud-based CI/CD tools




- Extensive experience overseeing the full production rollout of AI/ML solutions, including enterprise integration using microservices, APIs, and Docker containers
- Working knowledge of MLOps practices, including scalable system design, ML governance, production-grade engineering, and robust monitoring (system health, data validation, and drift detection)

Competencies

Scalable AI/ML Systems & Deployment Engineering

- Productionize ML, LLM/GenAI models and agentic systems into reliable, high-performance services with optimized latency, throughput and cost efficiency
- Design and operate scalable batch and real-time ML pipelines with high reproducibility across training and deployment
- Build and orchestrate automated end-to-end ML workflows, integrating CI/CD practices and ensuring data/feature consistency
- Establish robust monitoring and observability for model performance, data quality, system health and drift detection
- Manage the full ML lifecycle with solid versioning, governance, automated retraining and resilient deployment strategies
- Demonstrate solid knowledge of Git/Azure DevOps and modern build/test/deploy tools, with experience in enterprise ML platforms (e.g., Databricks MLflow, AI Foundry)
- Effectively leverage AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate prototyping, improve engineering quality and enhance developer productivity in building AI/ML and GenAI solutions





Global Collaboration & Enablement

- Effective collaboration across geographically distributed teams (Denmark, India, Portugal), with effective cross-cultural awareness and communication
- Ability to create alignment across product, AI/ML engineering, platform and MLOps teams to support shared engineering outcomes
- Demonstrated capability in mentoring and enabling teams through knowledge sharing, best practices and informal leadership

What We Offer

- Purpose - An opportunity to help address climate change and support future generations through building AI/ML, GenAI and agentic solutions that power the future of renewable energy and sustainable operations
- Accelerated learning & growth - Join a high-caliber global team of AI/ML engineers, data scientists and GenAI practitioners, with a clear focus on continuous learning, knowledge sharing and expanding into agentic autonomous flows
- Global collaboration & collaborative team culture - Work within a multicultural Denmark-India setup that values trust, collaboration and mutual support to deliver meaningful impact
- Opportunity to shape your role - Play a key role in scaling agentic autonomous flows and high-value AI/ML solutions, with the opportunity to guide direction, approaches, and outcomes
- Supportive and inclusive environment - Thrive in a diverse, inclusive workplace that promotes well-being, work-life balance and enables individuals to bring their full potential to work
- Career growth in a global organization - Be part of a global organization where you can continuously develop your skills, learn new skills, and grow your career

Overall, we offer you the prospect to grow your career while working in a global, multicultural environment that promotes

📌 Senior Ml Engineer (Chennai)
🏢 Vestas
📍 Chennai