Senior ML Engineer Job Details | Vestas

Vestas is a major player in wind technology and a Defining-force in the development of the wind power industry. Vestas core business comprises the development, manufacture, sale, marketing and maintenance of Wind Turbines. Come and Join us at Vestas!

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

As a senior member of the product team, you will partner with product owners, ML engineers, application developers and business SMEs to build and scale AI/ML capabilities within digital products.This role carries significant informal leadership, with a clear focus on accelerating delivery and improving AI/ML impact across the organization

• Manage the design, delivery and scaling of ML, LLM and agentic solutions to deliver measurable business impact across Vestas value chain
• Embed AI/ML capabilities into enterprise applications, enabling seamless adoption and value realization
• Own and make system architecture decisions to ensure scalable, reliable and maintainable AI/ML solutions
• Establish and promote reusable frameworks, patterns and engineering standards across teams
• Own end-to-end delivery across multiple initiatives, balancing speed, quality and evolving priorities
• Shape stakeholders on AI/ML strategy, guiding solution design aligned with business goals and governance standards

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 opportunity to grow your career while working in a global, multicultural environment that promotes continuous learning and development.

Additional Information

The work location is in Chennai, India Please note: We do amend or withdraw our jobs and reserve the right to do so at any time, including prior to the advertised closing date.

Learn more about Vestas at and follow us on our social media channels.

Our commitment to a fair hiring.

At Vestas, we evaluate all candidates solely based on their professional experience, education, and relevant skills. To support a fair recruitment process, we kindly ask that you remove any photos, dates of birth or graduation, gender pronouns, marital status, or other personal information not relevant to the role before submitting your CV/resume. Your CV/resume should focus on your professional and educational background, along with the necessary contact details (email and phone number). We train our hiring teams in inclusive evaluation and regularly review process outcomes to ensure fairness.

DEIB Statement

At Vestas, we recognize the value of diversity, equity, and inclusion in driving innovation and success. We strongly encourage individuals from all backgrounds to apply, particularly those who may hesitate due to their identity or feel they do not meet every criterion. As our CEO states, Expertise and talent come in many forms, and a diverse workforce enhances our ability to think differently and solve the complex challenges of our industry. Your unique perspective is what will help us powering the solution for a sustainable, green energy future.

BEWARE - RECRUITMENT FRAUD

It has come to our attention that there are a number of fraudulent emails from people pretending to work for Vestas. Read more via this link,