ML Engineer (NLP/GenAI)

Job description

**Digital Development Platform > Autonomous Flows > Autonomous Flows Advisors** 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 part of the product team, you will collaborate with product owner, ML engineers, application developers and business SMEs to develop and scale GenAI and agent-based capabilities within digital products. This role focuses on active development, learning, and contributing to valuable AI solutions - Contribute to the 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 techniques such as 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 and follow established design patterns and standards - Participate in end-to-end delivery of GenAI initiatives, contributing to development, testing and deployment - Continuously learn and adopt best practices in GenAI, NLP, and agentic systems development **Qualifications** - AI/ML Solutions Experience - Bachelor's or Master's degree in Computer Science / Engineering / Data Science / or similar specialization - 6+ years of experience in AI/ML, software engineering, data or analytics, focusing on digital solutions development - 2-5 years of core experience in AI/ML solution development, ML engineering, with a focus on NLP and applied GenAI systems - Practical experience with LLM ecosystems (e.g., OpenAI, Azure OpenAI, open-source models), including prompt engineering and basic context design - Practical experience with RAG architecture, embeddings or vector databases - Experience building and integrating applications using APIs, microservices or containerized environments - Familiarity with software engineering best practices (version control, testing, CI/CD basics) - Exposure to agentic workflows, including tool usage, chaining, or multi-step reasoning - Familiarity with LLM evaluation concepts and basic understanding of LLMOps practices such as monitoring, versioning, and cost awareness **Competencies** - LLM Systems Engineering - Ability to contribute to building scalable and reliable GenAI systems with focus on performance and maintainability o Understanding of standard design patterns and engineering practices for LLM-based applications - Familiarity with deploying and integrating GenAI solutions into production environments - GenAI & Agentic Solution Development - Practical experience in developing GenAI and agent-based solutions for structured workflows and assisted decision-making - Working knowledge of techniques such as RAG, prompt engineering and tool integration - Ability to implement intelligent workflows combining human-in-the-loop and automated processes under guidance - Foundational AI/ML & Software Engineering - Solid foundation in ML concepts and software engineering principles for building maintainable systems - Experience developing and integrating services using APIs, microservices and modern engineering practices - Proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to improve productivity and code quality - Global Collaboration & Enablement - Ability to collaborate effectively within distributed teams across geographies - Solid teamwork skills working with senior engineers and cross-functional stakeholders - Demonstrates a continuous learning mindset with interest in GenAI, NLP and agentic systems **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 gl