Lead Specialist, Machine Learning Engineer

Specialist | Full-Time

Digital Solutions & Development > Digital Solutions > AI/ML Chapter

At the core of the Digital Development Platform organization, the AI/ML Chapter serves as the capability home for AI/ML specialization, supporting engineering excellence, skills development, and scalable delivery across Vestas. You will be part of a global team spanning Denmark and India, partnering closely with product owners, AI/ML engineers and business stakeholders to design, build, and scale AI/ML, GenAI, and agentic solutions across the value chain from R&D and manufacturing to supply chain and service.

The chapter focuses on building and scaling AI/ML capabilities for high-value and autonomous flow use cases. It provides consistent knowledge across product areas, ensures readiness for emerging paradigms such as LLMs and agentic AI, and enables scalable delivery through a balanced mix of internal capability development and strategic partnerships. With disciplined engineering practices, data-focused methods, and close collaboration with business partners, the team continually raises AI/ML delivery standards and enables meaningful solutions that improve visibility, optimization, and innovation across the enterprise.

As part of the broader Autonomous Flows initiative, the team contributes to building next-generation intelligent systems and agentic workflows that enhance operational efficiency and unlock new business value. We collaborate closely with platform, product and governance teams to ensure scalable, responsible, and impactful adoption of AI across Vestas.

Responsibilities

• As a senior member of the product team, you will collaborate with product owners, AI/ML engineers, developers and business stakeholders to build and scale AI/ML capabilities in digital products. The role involves effective informal leadership with a focus on accelerating delivery and increasing business impact

• Oversee the design, delivery and scaling of ML, GenAI and agentic solutions to deliver measurable business impact across Vestas value chain

• Implement the integration of AI/ML capabilities into enterprise applications, enabling seamless adoption and value realization

• Establish and promote reusable patterns and engineering standards for scalable delivery, AI-ready data, and trusted AI automation

• Own the end-to-end delivery across multiple initiatives, balancing speed, quality and evolving priorities

• Partner with stakeholders on AI/ML strategy, guiding solution design aligned with business goals and governance standards

Qualifications

You have a solid foundation in machine learning and software engineering, combined with clear communication and stakeholder engagement skills. You bring extensive experience in designing and scaling production-grade AI/ML systems, with experience leading solutions across the full lifecycle from problem framing to deployment and continuous improvement. You have demonstrated depth in fields such as NLP, generative AI, agentic systems, computer vision, ML engineering, or large-scale AI systems.