Senior Machine Learning Engineer
Core
Design and deploy advanced machine learning models for engineering and infrastructure applications, solving complex optimization and simulation problems to improve the built environment.
Role type
Senior Machine Learning Engineer (Applied AI)
Builds
Production ML models for infrastructure design, optimization, and simulation
Domain
Infrastructure, Engineering, Sustainability
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, model design, optimization, evaluation, experimentation frameworks, end-to-end ML lifecycle ownership, technical leadership
Preferred skills
Physics-informed learning, digital twins, time-series forecasting, computer vision, sensor data, mechanical engineering, construction, robotics
Technologies
PyTorch, TensorFlow, scikit-learn
Responsibilities
Lead design and development of advanced ML models; Own end-to-end modelling lifecycle; Tackle complex, ambiguous problems; Design robust experimentation frameworks; Diagnose model failure modes; Collaborate with MLOps and software engineering teams; Partner with product managers and domain experts; Provide technical leadership and mentoring
Seniority
Senior, hands-on IC with leadership responsibilities
