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

PYTHON DEVELOPER

Alpharetta, GA · On-site

$49 - $67.50/hr

ALPHERATTA,GA(REQUIERED F2F INTERVIEW) • Senior Python Developer responsible for designing, building, and releasing high quality Python Model SDKs used by data scientists and ML engineers • ...

Job Summary: We are seeking a highly skilled AI/ML Engineer with over 15 years of experience to ... Strong programming skills in Python, R, or Java. * Deep understanding of statistical analysis, data ...

New

AI/ML engineer

Atlanta, GA

$110K - $132K/yr

AI/ML Engineer We are looking for a talented AI/ML Engineer to design, develop, and deploy machine ... Strong programming skills in Python * Experience with machine learning frameworks: * TensorFlow

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 ...

AI/ML Engineer We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy ... Strong programming experience in Python. * Hands-on experience with machine learning frameworks ...

• Build, maintain, and operate Python based ML pipelines for embeddings, inference, and relevance ... and Engineering teams to deliver scalable ML systems • Debug, optimize, and improve the ...

Lead ML Engineer

Atlanta, GA

$98K - $129K/yr

Experience: 10+ years of experience as an ML Engineer, with at least 1-2 years dedicated to ... Strong proficiency in Python, and IDEs such as Cursor/AWS Kiro, deep learning frameworks (PyTorch ...

AI/ML Engineer Location : Alpharetta GA (Onsite) Duration: Long term Mandatory Skills ... Python * TensorFlow/PyTorch basics * Understanding of ML algorithms * Preferred Skills: * Exposure ...

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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.

Senior Python Developer - AI/ML SDK

Purple Drive Technologies

Alpharetta, GA • On-site

$118K - $159K/yr

Full-time

Posted 13 days ago


Job description

Overview:
Senior Python Developer - AI/ML SDK & Platform Engineering
Location: Alpharetta, GA
Job Summary
We are looking for a highly skilled Senior Python Developer to design and build AI/ML Model SDKs that enable seamless model development, training, deployment, and monitoring.
The ideal candidate will have strong expertise in Python development, SDK/library design, and AI/ML workflows, along with experience building developer-friendly tools used by data scientists and ML engineers.
Key Responsibilities
SDK & Platform Development
  • Design, develop, and maintain Python SDKs/libraries for:
    • Model training
    • Experimentation
    • Validation
    • Deployment
  • Build developer-friendly APIs supporting multiple ML frameworks
AI/ML Workflow Enablement
  • Support full ML lifecycle:
    • Training
    • Evaluation
    • Inference
    • Deployment
  • Optimize SDKs for notebook environments:
    • Jupyter
    • Google Colab
    • VS Code
Architecture & Engineering
  • Implement clean, modular, and scalable APIs
  • Follow best practices:
    • SOLID principles
    • Clean architecture
  • Ensure performance, reliability, and scalability
Packaging & Release Management
  • Manage SDK lifecycle:
    • Versioning (Semantic versioning)
    • Dependency management
    • Backward compatibility
  • Publish packages using:
    • PyPI / internal registries
Testing & Quality
  • Write:
    • Unit tests
    • Integration tests
    • Contract tests (pytest)
  • Enforce:
    • Code reviews
    • Linting
    • CI/CD best practices
Collaboration
  • Work closely with:
    • Data Scientists
    • ML Engineers
    • MLOps teams
  • Translate requirements into SDK features
  • Create documentation, examples, and notebooks
Required Skills
Core Skills (Must Have)
  • Strong Python development (7+ years)
  • Experience building Python libraries / SDKs
  • API design for developer tools
AI/ML & Data
  • Understanding of:
    • Model training
    • Validation
    • Inference
    • Deployment
  • Experience with:
    • TensorFlow / PyTorch / Scikit-learn / XGBoost
Packaging & Tools
  • setuptools / poetry / pip
  • Semantic versioning
  • PyPI or internal package distribution
Testing & DevOps
  • pytest
  • CI/CD pipelines
  • Git-based workflows
Cloud & MLOps
  • AWS / GCP / Azure
  • Model deployment & monitoring
  • Feature stores / model registries
Containers
  • Docker
  • Kubernetes
Preferred Skills
  • Open-source contributions / published Python packages
  • Experience with developer SDK usability patterns
  • Strong documentation and communication skills
Experience Required
  • 7+ years of Python development experience
  • Proven experience building SDKs or reusable libraries