Specialist, Machine Learning Engineer

Specialist | Full-Time


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

Do you enjoy creating and scaling AI/ML solutions that deliver meaningful business results? Do you have experience in designing, developing and deploying AI/ML solutions and want to advance your career? Do you enjoy working at the intersection of product, engineering and business to turn advanced AI capabilities into production-ready solutions? Then you might be our new AI/ML Engineer. We are hiring across multiple seniority levels, and the role will be aligned to your experience, technical skills, and demonstrated impact.

At the core of Digital Development Platform organization, 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 Vestas value chain.

As part of the broader Autonomous Flows area, 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. 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.

Responsibilities

In this role, you will collaborate with product owners, ML engineers, application developers and business SMEs to build and scale advanced ML/GenAI and agent-based systems embedded in digital products. This role emphasizes reasoning-driven AI, self-directed execution and significant informal leadership to deliver results across the organization.

• Contribute to validating and conducting technical feasibility assessments of high-impact ML/GenAI use cases
• Build, productize and scale ML/GenAI and agentic systems capable of reasoning, planning and carrying out complex tasks
• Integrate AI/ML capabilities into enterprise applications, enabling seamless, human-in-the-loop and self-directed decision-making
• Work with cross-functional product teams in delivering AI/ML initiatives while advising stakeholders on responsible AI adoption balancing experimentation with production considerations such as performance, cost, reliability and governance
• Establish and promote reusable patterns and engineering standards for scalable delivery, AI-ready data, and trusted AI automation

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.

• A master's degree in a relevant field (e.g., computer science, data science, engineering) or equivalent practical experience
• You have demonstrated depth in one of the fields such as NLP, generative AI, agentic systems, computer vision, ML engineering or large-scale AI systems
• 5+ years of experience in ML engineering, including design, delivery and scaling of production-grade AI/ML solutions; the role can be aligned to different seniority levels based on skill level and demonstrated impact
• Deep knowledge of Python, ability to develop production grade code, solid experience with ML frameworks (e.g., Scikit-learn, Tensorflow, Pytorch) and GenAI/Agentic frameworks (e.g., Langchain, LangGraph, Pydantic AI)
• Deep experience with AI experimentation and modeling, as well as designing robust, scalable training and inference pipelines on cloud platforms including Azure and Snowflake, deployed through CI/CD within an IaC environment
• Solid experience with RESTful API design, Docker-based containerization, and Kubernetes-based deployment, scaling, and operations

Competencies

• 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
• Establish robust monitoring and observability for model performance, data quality, system health and data drift detection
• Manage the full ML lifecycle with clear versioning, governance, automated retraining and resilient deployment strategies
• 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 high cross-cultural awareness and communication
• Ability to align product, AI/ML engineering, platform and MLOps teams to deliver shared engineering outcomes
• Demonstrated experience 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 and growth. Join a high-caliber global team of AI/ML engineers, data scientists and GenAI practitioners, with 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 freedom to shape 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. Join a global organization that supports ongoing skill development and career advancement


Overall, we offer you the opportunity to contribute meaningfully while growing your career in a global, multicultural environment that promotes continuous learning and development.

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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.


About Vestas
Vestas is the energy industry's global partner on sustainable energy solutions. We are specialised in designing, manufacturing, installing, and servicing wind turbines, both onshore and offshore. Across the globe, we have installed more wind power than anyone else. We consider ourselves pioneers within the industry, as we continuously aim to design new solutions and technologies to create a more sustainable future for all of us. With more than 173 GW of wind power installed worldwide and 40+ years of experience in wind energy, we have an unmatched track record demonstrating our expertise within the field. With 29,000 employees globally, we are a diverse team united by a common goal: to power the solution - today, tomorrow, and far into the future. Vestas promotes a diverse workforce which embraces all social identities and is free of any discrimination. We commit to create and sustain an environment that acknowledges and harvests different experiences, skills, and perspectives. We also aim to give everyone equal access to opportunity. To learn more about our company and life at Vestas, we invite you to visit our website at and follow us on our social media channels. We also encourage you to join our Talent Universe to receive notifications on new and relevant postings.