Machine Learning Engineer II

Drive Eneco’s climate-neutral mission by 2035 through cutting-edge GenAI solutions that make customers greener every day.Shape and scale Eneco’s next-generation AI platform - where Machine Learning meets real-world impact.Join a collaborative, forward-thinking team that values innovation, learning, and building AI products that truly matter.Why choose Eneco?The One Planet strategy we are committed to here at Eneco sets an ambitious goal to be climate neutral by 2035. We want to achieve that goal for both us and our clients. To make it happen, we are dedicated to offering our customers innovative digital capabilities and smart solutions. Our team is working towards creating an exceptional online customer experience, through modernizing the Eneco chat, app and web environments. We are striving to deliver a superior digital customer experience that will stimulate and make it easier for our customers to become greener, every day.What You’ll DoAs a Machine Learning Engineer in the GenAI Platform, you will play a key role in building platforms for GenAI products. Right now, we're looking specifically for someone who has experience in the intersection of machine learning and cloud infrastructure (Terraform) in Azure. You will work closely with platform owners, data scientists, and other machine learning engineers to develop, optimize, and deploy LLM-powered services that support Eneco’s consumers internally or externally.Is this about you?Must Have:Infrastructure as Code: Terraform or similar tools. Experience working in a platform team / Ability to design systems that support multiple teams and use cases. Hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and open-source models. Strong Programming Skills in Python and ML/AI toolkit like PyTorch, Hugging Face Transformers, LangChain, etc. Experience deploying ML/AI systems in a production environment. Experience using Docker, Kubernetes, or MLflow for model lifecycle management. Understanding of software engineering principles: testing, CI/CD, version control, containerization. Nice to Have:Experience building AI-enabled applications, such as chatbots or intelligent agents. Experience with REST APIs, microservices, and scalable backend systems. Familiarity with prompt engineering, RAG, and model fine-tuning techniques. Cloud Platforms: Production experience with cloud services (Azure). Can be more pragmatic and flexible with pro-code, low-code, or no-code solution. Experience in Machine Learning, NLP, or AI Engineering. You’ll be responsible forDesigning pipelines that ingest, process, and interpret non-structured data. Designing, developing, and maintaining scalable GenAI components and tools used across the organization. Develop user interfaces or backend systems that interact with LLMs efficiently and safely. Collaborate with cross-functional teams (product, engineering, data science) to bring AI-powered features to life. Design and implement RAG pipelines that combine LLMs with vector search (e.g. Azure AI Search). Monitor platform usage, cost, GenAI and/or LLM related metrics. Create evaluation framework for chatbot or GenAI related application. This is where you’ll workYou will be working together with other Machine Learning Engineers and Data Scientists. Together, you will shape the GenAI platform so either Eneco internal employees or external consumers can benefit from the GenAI technology. Within the team, we encourage learning, actively seek out collaboration, celebrate successes, and learn from failures.What We Have To OfferGross annual salary between €80.000 and €110.000 Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing.FlexBudget Including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing. Have it paid out, use it to buy extra holiday days or save it up for something nice, it's up to you.Personal and professional growth Eneco is fully committed to help you in your personal and professional development.Hybrid working: home, office or abroad Work 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.Want more information about our terms of employment?Here's what you get from usWork that works for you and the climateIf you decide on a career at Eneco, you are choosing ambition, growth and opportunities. You will have all the space you want to improve yourself and do your job the way that suits you best, which includes having a good work-life balance. You can work to a flexible schedule and work partly from home if your role allows it.That is how you can work on your own future and on the future of the world. After all, you and your 4,000 colleagues are committed to our mission: climate neutrality by 2035. We assist customers to accelerate their sustainability efforts, devise innovative solutions and seize opportunities with both hands. Are you ready?The phases of our application procedure:Want to know more about this job function?Please contact our recruiter at: Venetia.dewit@eneco.comWith this job opening, we want to recruit a new Eneco colleague ourselves. This is not a call for acquisition.