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Ai Ml Python Developer Jobs in Georgia (NOW HIRING)

Donato Technologies, Inc

AI/ML Engineer

Alpharetta, GA · On-site

AI/ML Engineer Location : Alpharetta, GA / NYC, NY (8-15 years) Mandatory Skills: * Model ... Python * TensorFlow/PyTorch basics * Understanding of ML algorithms Preferred Skills: * Exposure to ...

smart folks inc

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Lead AI/ML Engineer Location: Remote Duration: Full-time Note: Need Exceptional exp in AI/ML ... Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud ...

Chenega Corporation

AI/ML Engineer

Atlanta, GA · Hybrid

$120K/yr

... Python for ML and data engineering * Experience with Azure * Experience in SQL for data ... AI, LLMs, or RAG applications * 8+ years of hands-on experience with Python for ML and data ...

Hexaware Technologies

Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

AWS Python Lead Developer Location Onsite (Reston, VA/ Atlanta ,GA) Client Interview-in person ... Experience working on ML use case and translating analytical hypotheses into practical solutions is ...

ApTask

Python Developer

Alpharetta, GA · On-site

$49 - $67.50/hr

Python Developer Data Protection Services What will you be doing? * You will onboard new and ... AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of ...

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Ai Ml Python Developer information

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.

Infographic showing various Ai Ml Python Developer job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 71% Full Time, 20% Part Time, and 8% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI/ML Engineer

Alpharetta, GA • On-site

Donato Technologies, Inc
IT Services • 51 - 200 employees
Learn more about Donato Technologies, Incexternal

Contractor

Re-posted 12 days ago

Job description

Job Description
AI/ML Engineer
Location : Alpharetta, GA / NYC, NY
(8–15 years) 

Mandatory Skills:

  • Model development & deployment
  • REST API integration for ML models

Preferred Skills:

  • Experience with NLP, deep learning
  • Cloud ML platforms (AWS SageMaker, Azure AI) 

 Mandatory Skills:

  • Python
  • TensorFlow/PyTorch basics
  • Understanding of ML algorithms

Preferred Skills:

  • Exposure to data preprocessing tools (Pandas, NumPy)
  • Basic cloud AI services

Note : Please inform the candidates to brush up on the knowledge in Copilot as well if not aware of. The python coding will be there as part of every interview discussion.

Screening points:

  • Python – Scripting & basic coding
  • Data Preprocessing
  • Rest API Integration
  • Cloud ML Platforms
  • RAG

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.