Senior Python Developer

Location: Alpharetta GADuration: 6 months GBaMS ReqID: 10527471

___

Senior Python Developer - AIML Model SDKs

• USCs / GC holders only

Responsibilities:

• 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 AIML lifecycle.
• Apply deep Python expertise and strong software engineering practices to build developer-friendly libraries.
• Design, develop, and maintain Python SDKs that simplify AIML 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.

Requirements:

• 7 years of professional Python development experience.
• Strong experience building, maintaining, and distributing Python libraries or SDKs for developers.
• Strong understanding of AIML 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.