Lead ML Engineer
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Summary
Lead ML engineer at greeHill in Budapest (4 days office / 1 day home) architecting large-scale computer vision and deep learning systems for urban climate tech — building model pipelines like traffic sign and facade detection, owning MLOps and deployment, and mentoring ML engineers. Core stack: Python, PyTorch, MLOps.
- 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
- 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
- Experience with remote sensing, GIS, LiDAR, or point cloud data
- Experience with workflow orchestration tools such as Airflow
- Experience with DevOps practices and tools including Docker and Kubernetes
- Experience with cloud ML environments especially Azure
- Experience with technical hiring, interviewing, and team scaling
- Direct impact on climate adaptation and the future of cities through technology that actually gets used
- Work on meaningful, real-world problems at the intersection of AI, sustainability, and urban tech
- Join a fast-growing, international team with real freedom to shape both the product and your role
- Learning, experimentation, and growth with talented, curious (green-)tech experts
- Continuous development with access to LinkedIn Learning and hands-on learning every day
- Work schedule of 4 days a week from the office and 1 day from home
- Position based in Budapest, Hungary
- Shower
- Corporate events
- Bicycle storage
- Sports facilities
- Dog friendly