Lead ML Engineer

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greeHill Europe Kft.
Munkavégzés helye

Hibrid • Budapest

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON AZURE ACCESS DEVOPS CLOUD DOCKER
Elvárások
- Angol középfok
- 5-10 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

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

Requirements

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

Nice-to-have

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 in technical hiring, interviewing, and team scaling

What we offer

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
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

Workplace extras

Shower
Corporate events
Bicycle storage
Sports facilities
Dog friendly

Company info

greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Hannover, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.