Machine Learning Engineer
Core
Build and deploy production-grade ML software, tools, and infrastructure for clients in energy, finance, government, and other sectors to solve critical challenges and accelerate the transition to net-zero emissions.
Role type
Senior Machine Learning Engineer (Production & Infrastructure)
Builds
Scalable ML systems, reusable software tools, and production-grade infrastructure for utility companies and energy operators.
Domain
Clean energy, utility infrastructure, and responsible AI deployment.
Deliverable
production ML models
Required skills
Python, full ML lifecycle, Scikit-learn, TensorFlow, PyTorch, cloud architecture (AWS/Azure/GCP), Docker, Kubernetes, probability, statistics
Preferred skills
Software engineering best practices, technical scoping, architectural decision-making, client advisory
Technologies
AWS, Azure, GCP, Docker, Kubernetes, Scikit-learn, TensorFlow, PyTorch
Responsibilities
Build and deploy production-grade ML software and infrastructure; create reusable scalable solutions; collaborate with cross-functional teams to solve client challenges; lead technical scoping and architectural decisions; define standards for deploying ML at scale; act as a technical advisor to customers.
Seniority
Senior, hands-on IC