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

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 ...

Senior AI/ML Engineer

Atlanta, GA

$100K - $138K/yr

Senior AI/ML Engineer Location: Atlanta GA or Frisco TX Duration: 7 Months Job Type: Temporary ... Python * Deep expertise in ML algorithms for similarity, classification, and clustering ...

Senior ML/AI Engineer

Lawrenceville, GA

$95K - $131K/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 ...

Senior ML/AI Engineer

Lawrenceville, GA

$95K - $131K/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 ...

Senior ML/AI Engineer

Lawrenceville, GA · On-site

$95K - $131K/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 ...

Lead AI Engineer

Atlanta, GA

$98K - $129K/yr

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 ...

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

... DevOps, and SRE teams to deliver robust ad-serving capabilities. • Partner with Data and ML ... Python (Django, FastAPI, or similar frameworks) and backend architecture, including async ...

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Python Ml Developer information

See Alpharetta, GA salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for python ml developer in Alpharetta, GA is $57.23, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

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 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 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 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 Alpharetta, GA? For Python Ml Developer jobs in Alpharetta, GA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Alpharetta, GA look for? The top searched job categories for Python Ml Developer jobs in Alpharetta, GA are:
What cities near Alpharetta, GA are hiring for Python Ml Developer jobs? Cities near Alpharetta, GA with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Alpharetta, GA as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $119,042 per year, or $57.2 per hour.
Agentic AI Engineer (Python)

Agentic AI Engineer (Python)

Intellectt INC

Atlanta, GA • On-site

Contractor

Posted 15 hours ago


Job description

Hi

Hope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

  • Design and build agentic AI frameworks and intelligent workflows using LLMs.
  • Develop and integrate Python-based AI applications with internal systems and APIs.
  • Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.
  • Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.
  • Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Optimize AI agents for scalability, performance, and accuracy in production environments.
  • Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.

Required Skills & Experience:

  • 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, or related frameworks.
  • Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Nice to Have:

  • Experience in healthcare or insurance domain.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.
  • Exposure to MLOps or AI agent lifecycle management.