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Ai Ml Python Developer Jobs (NOW HIRING)

PROLIM Global Corporation

Senior Python Developer

Atlanta, GA · On-site

$116K - $157K/yr

Alpharetta, GA Duration: 6 months GBaMS ReqID: 10527471 Senior Python Developer - AI/ML Model SDKs **(USCs + GC holders only) • Senior Python Developer responsible for designing, building, and ...

PROLIM Global Corporation

Python Developer with AI

Cary, NC · On-site

$47.75 - $66/hr

We are seeking a Python Developer with AI/Automation experience to design, develop, integrate, and ... Build and integrate AI/ML, Deep Learning, NLP, Neural Networks, and LLM capabilities into ...

Mitchell Martin Inc.

Python Developer with AI

Manhattan, NY · On-site

$55.25 - $76.25/hr

... Python Developer with AI expertise. This contract position requires strong skills in object ... implement AI/ML models and applications in production environments. • Collaborate on the ...

Tech Mirrors

NY · On-site

$60 - $80/hr

Python Developer - AI/ML Location: Sunrise, FL / Charlotte, NC (Onsite) Duration: Long Term Contract Pay Rate: $50-52/hr on C2C We are seeking a skilled Python Developer with strong expertise in ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

Conch Technologies Inc

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ / Dallas, TX / Tampa, FL / Boston, MA Duration: 12 ... Contribute to AI/ML initiatives by building data processing components and integrating machine ...

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Ai Ml Python Developer information

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How much do ai ml python developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai ml python developer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Ai Ml Python Developer vs Data Scientist?

AspectAi Ml Python DeveloperData Scientist
Required SkillsPython, Machine Learning, AI frameworks, coding, deploymentPython, Statistics, Data Analysis, Machine Learning, Visualization
Work EnvironmentDevelopment, coding, model deployment in tech teamsData analysis, research, reporting in various industries
Common Industry UsageAI product development, automation, machine learning solutionsData analysis, business insights, predictive modeling

While both roles involve Python and machine learning, Ai Ml Python Developers focus on building and deploying AI models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ mainly in their primary focus: development versus analysis.

What cities are hiring for Ai Ml Python Developer jobs?

Cities with the most Ai Ml Python Developer job openings:

What states have the most Ai Ml Python Developer jobs?

States with the most job openings for Ai Ml Python Developer jobs include:

What are popular job titles related to Ai Ml Python Developer jobs?

For Ai Ml Python Developer jobs, the most frequently searched job titles are:

Infographic showing various Ai Ml Python Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Senior Python Developer

Atlanta, GA • On-site

PROLIM Global Corporation
IT Services • 201 - 500 employees
Learn more about PROLIM Global Corporationexternal

$116K - $157K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Location: Alpharetta, GA
Duration: 6 months
GBaMS ReqID: 10527471
Senior Python Developer - AI/ML Model SDKs
**(USCs + GC holders only)
• 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

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