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Python Engineer-2

Alpharetta, Georgia 30004 Posted March 4th, 2026

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Job Type: Full Time

Job Category: IT

Job Description

Job Title: Python Engineer
Location: Alpharetta, GA
Fulltime only

Job Description
Must Have Technical/Functional Skills
  • 7+ years of professional Python development experience.
  • Strong experience building, maintaining and distributing Python libraries or SDKs used by other developers.
  • Solid understanding of AI/ML workflows: training, validation, inference, and deployment.
  • Hands-on experience with notebooks (Jupyter/Colab) and designing APIs optimized for interactive usage.
  • Experience with packaging and releasing Python libraries:
  • setuptools, poetry, or pip
  • Semantic versioning
  • PyPI or internal package registries
  • Strong knowledge of software design principles (SOLID, clean architecture).
  • Experience with testing frameworks such as pytest.
  • Familiarity with CI/CD pipelines and automated releases.
  • Excellent communication skills and ability to work cross-functionally.

Preferred / Nice to Have
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
  • MLOps experience: model versioning, feature stores, model registries, and monitoring.
  • Experience deploying models to cloud platforms (AWS, GCP, or Azure).
  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Experience designing developer-first APIs and SDK usability patterns.
  • Open-source contributions or publicly available Python packages.

Roles & Responsibilities
  • Design, develop, and maintain Python SDKs that abstract and simplify AI/ML model training, evaluation, and deployment workflows.
  • Build SDKs optimized for notebook-based development (Jupyter, Colab, VS Code) with excellent usability and documentation.
  • Implement clean, modular, and extensible APIs to support multiple model types and frameworks.
  • Package and release SDKs using best practices (versioning, dependency management, backward compatibility).
  • Ensure SDKs are production-ready, supporting deployment, inference, monitoring hooks, and configuration management.
  • Collaborate closely with Data Scientists, ML Engineers, and MLOps teams to translate requirements into robust SDK features.
  • Write comprehensive unit, integration, and contract tests to ensure reliability and stability.
  • Create and maintain developer documentation, examples, and notebooks.
  • Enforce software engineering best practices: code reviews, CI/CD, linting, and performance optimization.
  • Own the end-to-end lifecycle of SDKs—from design and development to release and maintenance.

Generic Managerial Skills:
Common Focus Areas:
  • Serve as a liaison to coordinate with cross-functional teams and provide regular updates to technology and business stakeholders
  • Identify, mitigate and resolve technical issues and project risks
  • Ensure project meets specifications and quality standards
  • Proficient in Agile methodology and tools - Jira, Confluence etc.
  • Critical analytical and problem-solving skills

Required Skills

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