Senior Python Developer – AI/ML Model SDKs | Alpharetta, GA (In-person interview)

[Abhinay Nampally]

Client: TCS

Role: Senior Python Developer – AI/ML Model SDKs

Location: Alpharetta, GA (In-person interview)

Duration: 6 months

Experience: 10+ Years

 

NOTE: Kindly submit only those candidates who are available for in-person interview for Alpharetta GA location

 

MUST HAVE GOOD EXP IN PYTHON DEVELOPEMENT.

·       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