Machine Learning Threat Intelligence Engineer

Senior Python Developer AI/ML Model SDKs Alpharetta, GA 12 months 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

Do you have experience in Software coding?, Do you have a Bachelor's degree?, 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, Google Cloud Platform, or Azure

Familiarity with Docker and Kubernetes

Experience designing developer first APIs and SDK usability patterns

Open source contributions or publicly released Python packages

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required for the project