Senior Python Developer

Key Responsibilities

• Design, develop, and maintain scalable Python SDKs for AI/ML model lifecycle management
• Build developer-friendly libraries supporting model training, experimentation, validation, and deployment
• Develop SDKs optimized for notebook-based environments such as Jupyter, Colab, and VS Code
• Implement clean, modular, and extensible APIs supporting multiple ML frameworks and model types
• Package and distribute SDKs using best practices in versioning, dependency management, and backward compatibility
• Ensure SDKs are production-ready with support for deployment, inference, monitoring, and configuration
• Collaborate with data scientists, ML engineers, and MLOps teams to define and deliver SDK features
• Write comprehensive unit, integration, and contract tests
• Create and maintain technical documentation, usage examples, and notebooks
• Enforce best practices including code reviews, CI/CD, linting, and performance optimization
• Manage the end-to-end SDK lifecycle from design through release and ongoing maintenance

Required Skills & Experience

• 7+ years of professional experience in Python development
• Strong experience building and distributing Python libraries or SDKs
• Deep understanding of AI/ML workflows (training, validation, inference, deployment)
• Experience designing APIs optimized for interactive notebook usage
• Hands-on experience with Python packaging tools (setuptools, poetry, pip)
• Knowledge of semantic versioning and package distribution (PyPI or internal registries)
• Strong grasp of software design principles (SOLID, clean architecture)
• Experience with testing frameworks such as pytest
• Familiarity with CI/CD pipelines and automated release processes
• Excellent communication and cross-functional collaboration skills

Preferred Qualifications

• Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost
• MLOps experience including model versioning, feature stores, registries, and monitoring
• Experience deploying ML models on AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Experience designing developer-first APIs and SDK usability patterns
• Open-source contributions or publicly available Python packages