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- Machine Learning Engineer - Energy Management
Machine Learning Engineer - Energy Management
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- Eneco - Rotterdam
- > 5 jaar
- Data & AI, Tech
- €84.000 - €117.000
Machine Learning Engineer - Energy Management
- Eneco - Rotterdam
- Data & AI, Tech
- > 5 jaar
- €84.000 - €117.000
Build production-grade machine learning solutions
using Databricks, MLflow, AWS and modern MLOps practices.
Own the complete machine learning lifecycle
, from scalable data processing and model training to production deployment and monitoring.
Collaborate in a multidisciplinary engineering team
where Machine Learning Engineers, Data Scientists and Data Engineers build reliable, scalable AI solutions together.
Why choose Eneco?
At Eneco, we are committed to accelerating the energy transition. Through our One Planet strategy, we aim to become climate neutral by 2035 – together with our customers.
Digital technology and data play a key role in achieving this ambition. Within the Energy Management Systems domain, we develop reliable, scalable and intelligent data-driven solutions that support Eneco's digital products and services. As a Machine Learning Engineer, you will help bring machine learning solutions into production by building the platforms, tooling and engineering practices that enable models to deliver reliable business value.
Working closely with Data Scientists, Data Engineers and Software Engineers, you will build and operate production-grade machine learning solutions while helping shape the future of MLOps within Eneco.
What you’ll do
- Design, build and maintain end-to-end machine learning pipelines for training, validation and production inference in both batch and real-time environments.
- Develop scalable MLOps capabilities, including CI/CD pipelines, automated testing, model versioning, deployment strategies, drift detection and rollback mechanisms.
- Build and operate Databricks-based data processing and machine learning workflows at scale.
- Manage MLflow for experiment tracking, model registry and reproducible machine learning deployments.
- Deploy, operate and optimize machine learning workloads on AWS while balancing performance, scalability and cost.
- Develop scalable feature engineering pipelines, data contracts and feature stores, including Scala-based ETL pipelines where applicable.
- Build monitoring, alerting and observability for production models, including model performance, latency, throughput, and data and model drift.
- Work closely with Data Scientists to productionize machine learning models, provide feedback on production constraints and continuously improve deployed solutions.
- Perform post-deployment analyses to evaluate and improve model performance and operational reliability.
- Contribute to platform improvements, automation and MLOps best practices across the team.
- Mentor fellow engineers and contribute to a strong engineering culture.
Is this about you?
You are passionate about building reliable production systems and enjoy bringing machine learning solutions into production. You combine strong software engineering skills with hands-on MLOps experience and thrive in multidisciplinary teams where engineering and data science come together.
- 4+ years professional experience in ML engineering; 2+ years owning MLOps/production ML systems.
- Hands-on experience with Databricks (notebooks, jobs, clusters) for large-scale data processing and model training.
- Production experience with MLflow for experiment tracking and model registry.
- Strong AWS experience deploying and operating ML workloads.
- Proficient in Scala for data processing/ETL on Spark; production-quality code and familiarity with JVM ecosystem.
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Our team values collaboration, ownership and continuous learning. We encourage experimentation, knowledge sharing and continuous improvement while building reliable, scalable machine learning solutions that contribute to Eneco's ambition to accelerate the energy transition.
What we have to offer
Gross annual salary between €84.000 and €117.000
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 us
Work Where Everyone Matters
When you choose a career at Eneco, you choose ambition, growth, and opportunity in an environment where everyone matters. You’re given the space to develop yourself and to do your work in a way that suits you. We believe that different perspectives, nationalities, and backgrounds make us stronger, which is why we foster an open, safe and inclusive culture. Naturally, we also prioritize a healthy work-life balance, flexible working hours, and the option to work from home when your role allows it. If you have a physical or sensory disability, we will work with you to find the right adjustments so you can perform your job well. This is how you build your own future and a sustainable future at the same time. Together with 4,000 colleagues, each with their own talents and ideas, you work on our shared mission: speeding up the energy transition. We help customers become more sustainable faster, create innovative solutions, and seize new opportunities. Will you join us?
The phases of our application procedure
Want to know more about this job function?Contact our recuiter at: Venetia.dewit@eneco.com
Questions about the application procedure
Feel free to contact our recruiter:
Venetia de Wit
+31615850813Stuur een e-mail
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