Python developer (ML/DL/CV Engineer)

Key Responsibilities

• Develop models for precision agriculture, including field recognition and attribute identification from satellite images using advanced machine learning algorithms.

Must-Have Qualifications

• 4+ years of experience in a relevant field.
• Proficiency in Python (C++ is a plus).
• Expertise in modern ML/DL/CV techniques (Semantic Segmentation, Instance Segmentation, Object Detection, Time Series Analysis).
• Experience with OpenCV, scikit-learn, scikit-image.
• Proficiency in PyTorch.
• Proficiency in classical machine learning and computer vision algorithms.
• Ability and willingness to read and understand contemporary ML/DL research papers.
• Strong mathematical foundation: statistics, probability theory, algorithms.
• Strong problem-solving skills and the ability to propose solutions independently.
• Ability to work effectively in a strong team environment.
• Quick learner.
• At least an intermediate level of English language proficiency.

Additional Advantages

• Experience with GIS (GDAL).
• Familiarity with classic backend technologies: FastAPI, Django, Celery.
• Experience with PostgreSQL, PostGIS.
• Proficiency in Linux/BASH/Docker.
• Experience with Docker/Kubernetes.