Sporty Group
European Union
Weekend Site Reliability Engineer (SRE) - DevOps/Platform Engineering
- AI
- Apache
- AWS
- Bash
E
Senior AI/ML Engineer - MLOps & ML Platform
European Union
Full Remote
AI Summary
Lead ML pipeline design, productionize models, and manage ML services. 6-8 yrs in ML Engineering, MLOps, or Data Engineering. Strong Python, Azure, AWS, Docker, Kubernetes, Terraform, CI/CD. Fully remote, occasional travel to Utrecht HQ.
Key Highlights
Design and maintain end-to-end ML pipelines
Productionize ML models for energy use cases
Build and operate ML services using Airflow, Azure ML, FastAPI
Key Responsibilities
Design and maintain end-to-end ML pipelines
Productionise ML models for energy use cases
Build and operate ML services using Airflow, Azure ML, FastAPI
Automate deployment and lifecycle management via CI/CD
Implement monitoring, alerting, and model drift detection
Manage infrastructure with Terraform, Docker, and AWS Fargate
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Technical Skills Required
Benefits & Perks
Fully remote with occasional travel
Initial 6-month engagement with renewal potential
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Nice to Have
Experience in energy/utilities sector
Time-series forecasting exposure
Job Description
Our client, a renewable energy company scaling their data and AI capabilities to power the energy transition. They're looking for a Senior AI/ML Engineer to join the ML Engineering team, focused on MLOps and ML Platform work: turning data science models into reliable, production-grade services running forecasting, optimization, and automation systems.
What you'll do:
🔹 Design and maintain end-to-end ML pipelines: training, validation, deployment, monitoring
🔹 Productionise ML models for use cases like demand forecasting, asset performance prediction, and grid load optimization
🔹 Build and operate ML services using Airflow, Azure ML, and FastAPI
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