ZipRecruiter

Log In

1

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

smart folks inc

Lead AI/ML Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud ... engineers into tech leads. Best Regards, Srinivas Email: srinivas@smartfolksinc.com

Sumeru

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $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

Worldpay

ML Software Engineering Lead

Atlanta, GA

$98K - $129K/yr

We are seeking an experienced and visionary ML Software Engineering Lead to serve as the technical ... DevOps best practices. * Strong Python skills, including in relevant libraries such as Pandas ...

OVA.Work

ALM engineer

Alpharetta, GA · On-site

... ML technologies and research Qualifications : Required : • Strong programming skills in Python • Experience with machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • ...

Optimal Inc.

AI/ML Engineer

Embry Hills, GA

We are seeking an experienced AI/ML Engineer with deep expertise in manufacturing systems and ... Strong programming skills in Python with proficiency in PyTorch (preferred) or TensorFlow for model ...

Posted today

Worldpay

Senior ML Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Strong Python programming and relevant ML/data libraries * Experience with containerization, orchestration, and AWS cloud services * Building and operating CI/CD pipelines * Monitoring ...

previous pagenext page

Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in Alpharetta, GA

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:

Python Ml Developer jobs near you
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.

Lead AI/ML Engineer

smart folks inc

Atlanta, GA • On-site

$98K - $129K/yr

Full-time

Re-posted 10 days ago

Job description

Title: Lead AI/ML Engineer

Location: Remote

Duration: Full-time

Note:   Need Exceptional exp in AI/ML concepts (GenAI, Agentic, RAG), Vector DB works, news recommendation system using GenAI) or provide details about existing projects like claims processing.  metadata extraction.

Primary Responsibilities:

AI Project Execution & Delivery:

  • Lead the end-to-end execution of high-priority AI/ML projects, ensuring they are delivered on time, within budget, and to the highest technical standards.
  • Translate the enterprise AI strategy and product roadmaps into detailed project plans, technical specifications, and actionable backlogs for engineering teams.
  • Serve as the primary technical point of contact for project stakeholders, managing dependencies, mitigating risks, and communicating progress effectively.
  • AI Governance & AIRB Facilitation:
  • Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams.
  • Facilitate the preparation of all required documentation for AIRB reviews, ensuring submissions are complete, clear, and proactively address potential ethical, compliance, and technical concerns.
  • Implement and enforce the governance framework, ensuring teams adhere to established standards and best practices for responsible AI.
  • Team Leadership & Technical Mentorship:
  • Provide direct line management, technical leadership, and mentorship to a team of senior AI/ML Engineers and Data Scientists.
  • Foster a culture of engineering excellence, collaboration, and continuous improvement within the team and enterprise.
  • Conduct code reviews, design sessions, and technical deep dives to ensure the quality, scalability, and robustness of AI solutions.
  • Hands-on MLOps & Engineering Practice:
  • Drive the practical implementation of the MLOps strategy, directly overseeing the construction and optimization of CI/CD pipelines for AI/ML systems using tools like GitHub Actions.
  • Enforce rigorous engineering hygiene, including version control for code, data, and models (Git, DVC), and the application of Infrastructure as Code (IaC) principles. Lead the technical implementation of production monitoring solutions to track model performance, identify drift, and ensure the long-term reliability of deployed AI systems.

Required Qualifications:

  • Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions.
  • Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects.
  • Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies.
  • Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring.
  • Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning.
  • Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP).

Preferred Qualifications:

  • Advanced Degree: A Master's or Ph.D. in a relevant quantitative field.
  • Healthcare Domain Experience: Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment.
  • Product Mindset: Experience working closely with product managers to define and deliver AI-powered features and products.
  • Expertise in GenAI Operations: Specific experience in the operational challenges of deploying and managing LLM-based applications in production.
  • Mentorship and Talent Development: A passion for coaching and developing technical talent, with a track record of growing senior engineers into tech leads.

Best Regards,

Srinivas

Email: srinivas@smartfolksinc.com

Smart Folks logo

About Smart Folks

Sourced by ZipRecruiter

Smart Folks Inc. (SFI) is a global IT Staff Augmentation and Consulting Services that discovers handpicked smart talent and routes them to the right path. Smart Folks Inc. was founded in 2011 and is headquartered in McKinney, Texas. We have global operations with localized detail to meet the high caliber needs of our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

McKinney, TX, US

Year founded

2011

Social media

FacebookTwitter

View All Smart Folks Jobs