Architect and lead the development of large-scale ML systems and model pipelines
Introduce new ML systems, such as traffic sign detection, building facade detection, and other computer vision-based solutions
Define and drive the ML technical roadmap in alignment with company objectives
Act as a technical mentor and leader for other ML engineers
Facilitate cross-team collaboration with product, engineering, and domain experts
Ensure engineering excellence through robust review processes, documentation, and technical standards
Own and refine deployment processes for real-time and batch ML services
Evaluate emerging tools, techniques, and architectures, and apply them strategically
Support technical decision-making across ML architecture, data pipelines, model development, and deployment

5+ years of experience in ML/AI, with a strong focus on production-grade computer vision and deep learning models
Expert-level Python and PyTorch skills
Deep knowledge of scalable ML systems, data lifecycle management, and MLOps practices
Proven technical leadership experience, including mentoring engineers, leading projects, or guiding ML teams
Strong architectural thinking and the ability to make pragmatic technical decisions
Strategic thinking and excellent communication skills
A passion for sustainability and real-world applications of ML
Experience with complex algorithms and large-scale data processing
Experience in managing, mentoring, or helping build small ML teams (preferred)
Remote sensing, GIS, LiDAR, or point cloud data (preferred)
Workflow orchestration tools such as Airflow (preferred)
DevOps practices and tools, including Docker and Kubernetes (preferred)
Cloud ML environments, especially Azure (preferred)

Lead ML Engineer

Key skills