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 MACHINE LEARNING DEVOPS DOCKER POSTGRESQL
Elvárások
- Angol középfok
- >10 év tapasztalat
- Középiskola

Állás elmentve

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Responsibilities

Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
Development of efficient, scalable training and inference pipelines
Mentoring junior ML engineers, reviewing code and sharing best practices
Collaboration cross-functionally with data engineers, product teams, and remote sensing experts
Performance optimization for large-scale ML workflows and data processing pipelines
Contribution to strategic technical decisions around model deployment and MLOps
Application of Machine Learning research to real-world sustainability challenges

Requirements

Professional experience in Machine Learning
Deep expertise in Computer Vision
Proficiency in Python and PyTorch
Successful delivery of production-grade ML systems
Foundation in algorithms, data structures, and ML system design
Problem-solving skills and bias for action
Experience with CI/CD, model versioning, and model deployment at scale
Experience working on cloud infrastructure

Nice-to-have

Experience in geospatial data or remote sensing
Point cloud data processing
PostgreSQL or other relational DBs
Workflow automation tools like Airflow
DevOps tools such as Docker and 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.