For a scaling product customer, I am searching for a freelance Machine Learning Engineer with some exposure to Data Science to build a platform which optimizes large fleets of distributed energy resources turning them into flexible, grid-ready Virtual Power Plants.
Responsibilities
* Designing and implementing machine learning models for forecasting, optimization, and control of distributed energy assets
* Productionizing ML models: from research to robust, scalable, real-time systems
* Building and maintaining ML infrastructure and data pipelines (training, inference, monitoring, retraining)
* Collaborating closely with energy experts and product teams to translate real-world constraints into deployable algorithms
* Developing backend software that integrates AI models into their orchestration platform
* Improving system performance, reliability, and observability in mission-critical environments
Profile
* Solid experience as an Machine Learning Engineer, Applied Scientist, or Software Engineer with strong ML exposure
* Proven ability to deploy ML models into production systems, not just notebooks
* Good knowledge of Python, data & streaming, MLOps and cloud infrastructure
* Experience with time-series data, optimization problems, or real-time decision systems
* Exposure to Data Science
* A pragmatic mindset: you care about solutions that work in the real world
* Clear communication and a collaborative approach
* Experience in energy systems, energy data, IoT, or large-scale optimization is a bonus
Additional Details
SENIORITY: Medior/Senior
START DATE: March
DURATION: 12 Months
EXTENSION: Yes
CONTRACT: Freelance
LOCATION: Antwerp
ONSITE POLICY: ~2 days per week (or equivalent each month)
HOURS PER WEEK: 40
LANGUAGES: Fluent English
INTERVIEW PROCESS: 2 stages
If you are interested, please forward your updated resume to jay.kukoyi@vividresourcing.com to be considered.