Responsibilities
• Write clean, reliable, and scalable Python code for production environments
• Develop backend components, APIs, and data processing workflows
• Integrate machine learning modules and data pipelines into operational systems
• Work with large and complex datasets (including 2D, 3D, and GIS data)
• Collaborate closely with data scientists, ML engineers, and other development teams
• Contribute to improving system performance, data quality, and internal tooling
Requirements:
• Strong Python skills and solid algorithmic thinking
• Practical experience in at least one of the following areas:
o FastAPI / API development
o Airflow / data pipeline orchestration
o PostgreSQL / database development and optimization
• Problem solving mindset and ability to work independently
• Comfortable working in a collaborative, fast moving team environment
• 3+ years of professional experience in Python development
Nice to Have:
• Experience with Docker, Kubernetes, or ML driven workflows
• Familiarity with data intensive or production level pipeline environments
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