| Job Description: |
• Senior Python Developer responsible for designing, building, and releasing high quality Python Model SDKs used by data scientists and ML engineers
• Develop SDKs that support seamless model training, experimentation, validation, and deployment across the AI/ML lifecycle
• Apply deep Python expertise and strong software engineering practices to build developer friendly libraries
• Design, develop, and maintain Python SDKs that simplify AI/ML model training, evaluation, and deployment workflows
• Build SDKs optimized for notebook based development in Jupyter, Colab, and VS Code
• Implement clean, modular, extensible APIs supporting multiple model types and frameworks
• Package and release SDKs using best practices in versioning, dependency management, and backward compatibility
• Ensure SDKs are production ready and support deployment, inference, monitoring hooks, and configuration management
• Collaborate with data scientists, ML engineers, and MLOps teams to translate requirements into SDK features
• Write comprehensive unit, integration, and contract tests
• Create and maintain developer documentation, examples, and notebooks
• Enforce software engineering best standards including code reviews, CI/CD, linting, and performance optimization
• Manage the end to end SDK lifecycle from design through release and maintenance
• 7+ years of professional Python development experience
• Strong experience building, maintaining, and distributing Python libraries or SDKs for developers
• Strong understanding of AI/ML workflows including training, validation, inference, and deployment
• Hands on experience designing APIs optimized for interactive notebook use
• Experience with Python packaging tools including setuptools, poetry, or pip
• Experience with semantic versioning and package distribution via PyPI or internal registries
• Strong knowledge of software design principles including SOLID and clean architecture
• Experience with testing frameworks such as pytest
• Familiarity with CI/CD and automated release processes
• Excellent communication and cross functional collaboration skills
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit learn, or XGBoost
• MLOps experience including model versioning, feature stores, registries, and monitoring
• Experience deploying models to AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Experience designing developer first APIs and SDK usability patterns
• Open source contributions or publicly released Python packages |
