Senior Python Developer

Ae Talents GroupContract
GA
10 - 20 YearsApr 28th, 2026
49 ViewsBe an Early Applicant
Required Skillset:
pip

Job Description

🚀Now Hiring | Senior Python Developer – AI/ML Model SDKs
📍 Location: Alpharetta, GA (Onsite)
⏳ Duration: 6 Months
📄 Visa: USC Only (No GC)
Share Resumes and DL to xxxxxxxxxxxxxxx
We’re looking for a Senior Python Developer to design and deliver high-quality SDKs that empower data scientists and ML engineers across the entire machine learning lifecycle.
🌟 Role Overview
As a Senior Python Developer, you will play a critical role in building robust Python Model SDKs that streamline model training, experimentation, validation, and deployment. You’ll collaborate with cross-functional teams and drive best-in-class engineering practices to deliver production-ready solutions.
💡 Key Responsibilities
🔹 Design, build, and release high-quality Python SDKs
🔹 Enable seamless AI/ML workflows from development to deployment
🔹 Develop clean, modular, and extensible APIs
🔹 Optimize SDKs for Jupyter, Colab, and VS Code environments
🔹 Collaborate with Data Scientists, ML Engineers, and MLOps teams
🔹 Write unit, integration, and contract tests (pytest)
🔹 Drive engineering excellence with CI/CD, code reviews, and performance optimization..Share Resumes and DL to xxxxxxxxxxxxxxx
🔹 Own the end-to-end SDK lifecycle
🛠️ Required Skills & Experience
✔️ 7+ years of professional Python development experience
✔️ Proven expertise in building and distributing Python libraries/SDKs
✔️ Strong understanding of AI/ML lifecycle (training, validation, inference, deployment)
✔️ Hands-on experience designing APIs for interactive notebook environments
✔️ Experience with setuptools, poetry, pip, PyPI
✔️ Strong foundation in SOLID principles & clean architecture
✔️ Experience with pytest and testing frameworks
✔️ Familiarity with CI/CD pipelines & automated releases
✔️ Excellent communication and collaboration skills
🌈 Preferred Qualifications
✨ Experience with TensorFlow, PyTorch, Scikit-learn, XGBoost
✨ Exposure to MLOps (model versioning, feature stores, monitoring)
✨ Cloud platforms: AWS, GCP, Azure
✨ Hands-on with Docker & Kubernetes
✨ Open-source contributions or published Python packages

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