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

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Strong proficiency in Python (FastAPI, Flask, async programming, RESTful APIs). * Proven experience in AI/ML pipelines - data preprocessing, model training, fine-tuning, and deployment (TensorFlow ...

AI/ML Engineer

Atlanta, GA · On-site

$50 - $70/hr

Python Developer with AI/ML Pay range: $50-$70/hr The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance ...

The ideal candidate will have a strong engineering background with a deep understanding of ML ... Required Skills Python Experience in Integration LLM FAST API Kafka Integration Rest API ...

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit‑learn). Deep understanding of machine learning fundamentals, including ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn). * Deep understanding of machine learning fundamentals, including ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn). * Deep understanding of machine learning fundamentals, including ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn). * Deep understanding of machine learning fundamentals, including ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

Expertise in programming languages such as Python (with extensive experience in ML libraries like TensorFlow, PyTorch, Scikit-learn). * Deep understanding of machine learning fundamentals, including ...

Senior ML Engineer

Atlanta, GA · On-site

$100 - $160/hr

Job Summary We are seeking a highly skilled and innovative Machine Learning Engineer to develop ... Strong proficiency in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, and ...

Showing results 41-60

Python Ml Developer information

See Alpharetta, GA salary details

$12

$57

$84

How much do python ml developer jobs pay per hour?

As of Aug 19, 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 the key skills and qualifications needed to thrive as a Python ML Developer?

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 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 August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $119,042 per year, or $57.2 per hour.

Senior ML Software Engineer

Greater Giving, Inc.

Atlanta, GA • On-site

$100 - $130/hr

Other

Medical, PTO

Posted 14 days ago


Job description

Location: Atlanta, Georgia, United States

Make your mark at one of the biggest names in payments.

We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators—including ML research engineers, product managers, and platform engineers—to deliver scalable, reliable, and low-latency ML solutions.

In addition to technical expertise, this job requires strong collaboration skills.

What you’ll own

  • Feature Development & Delivery: Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.
  • Technical Ownership and Stewardship: Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
  • End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.
  • Contribute to ML platform: Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.
  • Operational Excellence: Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards. Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge. Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.
  • Release Management: Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.
  • Leadership: Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges. Mentor and coach other engineers, supporting their professional growth. Foster a culture of collaboration, continuous improvement, and knowledge sharing.
  • Act Like an Owner: Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity. Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.

What you’ll bring

  • 5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience
  • Proven expertise with ML model deployment, API design, and integration into production environments
  • Strong Python programming and relevant ML/data libraries
  • Experience with containerization, orchestration, and AWS cloud services
  • Building and operating CI/CD pipelines
  • Monitoring, troubleshooting, and optimizing production ML systems
  • Pre-release testing and release management
  • Demonstrated ability to work independently, navigate ambiguity, and deliver results
  • Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams
  • Experience with OpenAPI, FastAPI, or similar

It’s a bonus if you have

  • Experience with MLFlow, model versioning, and storage
  • Familiarity with Databricks or similar platforms
  • Automated testing and validation frameworks
  • Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB
  • Experience with Terraform Cloud
  • Experience in large companies, mature engineering teams, and/or highly regulated industries
  • AI-assisted coding experience (e.g. GitHub Copilot)

Why Join Us?

  • Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company’s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.
  • Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
  • Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.

Benefits

  • Medical coverage and wellbeing support for you and your family
  • Base salary plus bonuses and/or equity awards, determined by role, level, impact, and policies
  • Paid time off and holidays
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