Senior Machine Learning Engineer

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greeHill Europe Kft.
Munkavégzés helye

Budapest
Profession Prémium

Nézd meg, mennyire felelsz meg ennek az állásnak. Mennyire passzolok?

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

Állás elmentve

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Responsibilities

Owning the design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
Leading the development of efficient, scalable training and inference pipelines
Mentoring junior ML engineers, reviewing code and sharing best practices
Collaborating cross-functionally with data engineers, product teams, and remote sensing experts
Driving performance optimization for large-scale ML workflows and data processing pipelines
Contributing to strategic technical decisions around model deployment and MLOps
Staying at the forefront of Machine Learning research and applying it to real-world sustainability challenges

Requirements

5+ years of professional experience in Machine Learning, ideally with deep expertise in Computer Vision
Strong proficiency in Python and PyTorch
A track record of successful delivery of production-grade ML systems
Strong foundation in algorithms, data structures, and ML system design
Excellent problem-solving skills and a bias for action
Experience with CI/CD, model versioning, and model deployment at scale
Proven experience working on cloud infrastructure (Azure preferred)

Nice-to-have

Experience in geospatial data or remote sensing background
Point cloud data processing
PostgreSQL or other relational DBs
Workflow automation tools like Airflow
DevOps tools (Docker, Kubernetes)
Contributions to open-source ML projects or published research

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, Berlin, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.