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Python Ml Developer Jobs in Cumming, GA (NOW HIRING)

Sumeru

Senior AI/ML Engineer

Atlanta, GA

$100.50K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local ... Python (required) * Libraries: scikit-learn, HuggingFace Transformers, RapidFuzz, jellyfish

Intellectt INC

Agentic AI Engineer (Python)

Atlanta, GA · On-site

Strong programming skills in Python and familiarity with AI/ML frameworks. * Proven experience developing LLM-driven or multi-agent AI systems. * Hands-on experience with LangChain, AutoGen, CrewAI ...

M3

Senior ML/AI Engineer

Lawrenceville, GA

$95.80K - $131.50K/yr

Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, PySpark, pandas). * Experience deploying and maintaining ML models in production environments. * Experience ...

JLL

AI Dev Lead

Atlanta, GA

$56.75 - $74.25/hr

Responsibilities * 4-6 years' hands-on experience working as Sr AI/ML Developer with at least three ... Python, FastAPI, Flask * LangChain, LlamaIndex, Transformers library * OpenAI API, Azure OpenAI ...

M3

Senior ML/AI Engineer

Lawrenceville, GA · On-site

$95.80K - $131.50K/yr

Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, PySpark, pandas). * Experience deploying and maintaining ML models in production environments. * Experience ...

Ag

HR AI/ML Engineer II

Atlanta, GA

As an HR AI/ML Engineer supporting the North America region at Airbus, you will be at the forefront ... Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, and ...

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How much do python ml developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for python ml developer in Cumming, GA is $52.29, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

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

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Cumming, GA? For Python Ml Developer jobs in Cumming, GA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Cumming, GA look for? The top searched job categories for Python Ml Developer jobs in Cumming, GA are:
What cities near Cumming, GA are hiring for Python Ml Developer jobs? Cities near Cumming, GA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
AI/ML Engineer - Q126

AI/ML Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 22 days ago

Job description

Overview:
Job Title: AI/ML Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent to industries ranging from Healthcare to Financial Services, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: As an AI/ML Engineer at R2 Technologies, you will be at the forefront of designing and deploying intelligent, next-generation solutions for our clients and contributing to our internal product offerings like SmartEnt. We are looking for a forward-thinking engineer who goes beyond traditional machine learning to build dynamic, agentic AI systems. You will be responsible for integrating state-of-the-art Large Language Models (LLMs)-with a strong emphasis on Anthropic's Claude-into enterprise applications. The ideal candidate deeply understands the 2026 AI ecosystem, including advanced RAG (Retrieval-Augmented Generation) architectures, autonomous agents, and model orchestration.
Key Responsibilities: * Design, develop, and deploy scalable AI/ML pipelines and autonomous agent architectures tailored to complex client business needs and R2's digital platforms.
  • Integrate and optimize cutting-edge LLMs into enterprise applications, acting as the subject matter expert on Anthropic's Claude API, its latest contextual window capabilities, and advanced reasoning features.
  • Build robust RAG systems utilizing modern vector databases to securely ground enterprise data for actionable insights and intelligent decision-making.
  • Develop agentic workflows utilizing frameworks like LangChain, LlamaIndex, or AutoGen to create systems capable of multi-step reasoning and independent tool execution.
  • Collaborate with cross-functional product and engineering teams to evaluate and implement auxiliary models when specific use cases demand them.
  • Continuously monitor, fine-tune, and evaluate model performance, ensuring low latency, high accuracy, cost-efficiency, and strict adherence to data privacy and security standards.

Qualifications: * Upto 3 years of hands-on experience in Machine Learning, AI system design, or Data Engineering.
  • Strong programming proficiency in Python and solid experience with API integrations.
  • Demonstrated experience working heavily with Anthropic's Claude (Opus/Sonnet/Haiku), including advanced prompt engineering, tool use (function calling), and fine-tuning.
  • Practical experience building agentic AI applications and a deep understanding of how to orchestrate multiple LLM agents to solve complex tasks.
  • Hands-on experience with orchestration frameworks such as LangChain or LlamaIndex.
  • Solid foundation in cloud computing environments (AWS, GCP, or Azure) to deploy scalable AI solutions.
  • Excellent problem-solving skills and the ability to translate ambiguous business requirements into robust technical architectures.

Skills:
Machine Learning,Python

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