Machine Learning Engineer
We are looking for a Machine Learning Engineer to design and deploy AI systems . This role focuses on building production-ready models, data pipelines, and scalable systems operating in real-world environments.
About the position
You will work at the intersection of research and engineering, contributing to the development of AI systems applied in renewable energy and infrastructure environments. The role involves transforming data into forecasting, optimization, and decision-making systems, with a strong focus on deployment readiness and integration into operational workflows.
You will collaborate with research, engineering, and innovation teams to deliver pilot-ready solutions aligned with real-world constraints, regulatory environments, and enterprise systems.
Job responsibilities
- Design, develop, and optimize machine learning models for forecasting, optimization, and classification tasks
- Build and maintain data pipelines for ingesting, processing, and validating data from multiple sources
- Deploy models into production environments, ensuring scalability, reliability, and performance
- Collaborate with engineering teams on system architecture and API integration
- Validate model performance using real-world datasets and operational metrics
- Contribute to system documentation, testing frameworks, and continuous improvement processes
- Support pilot deployments and monitor system behavior in operational environments
REQUIREMENTS
- Strong experience with Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience working with real-world data pipelines and data processing systems
- Understanding of model deployment, APIs, and cloud-based infrastructure
- Familiarity with time-series data, forecasting, or optimization problems
- Ability to work across research and engineering boundaries
- Strong problem-solving skills and attention to detail
Benefits
We believe innovation happens when talented people have the freedom, support, and environment to do their best work. Our team benefits from a flexible and collaborative workplace where creativity, research, and continuous learning are encouraged.
