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

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 ...

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 ...

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 ...

AI/ML Engineer

Atlanta, GA · On-site

$110 - $120/hr

... Python for ML and data engineering * Experience with Azure * Experiencein SQL for data manipulation and feature engineering * Knowledge of MLOps tools (MLflow) * Ability to support on-site work in ...

Showing results 41-60

Python Ml Developer information

See Marietta, GA salary details

$12

$55

$81

How much do python ml developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python ml developer in Marietta, GA is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $63.12 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 Marietta, GA?

For Python Ml Developer jobs in Marietta, GA, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Marietta, GA look for?

The top searched job categories for Python Ml Developer jobs in Marietta, GA are:

What cities near Marietta, GA are hiring for Python Ml Developer jobs?

Cities near Marietta, GA with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Marietta, GA as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $115,579 per year, or $55.6 per hour.

Full-time

Re-posted 13 days ago


Job description

Overview:
Role: AI & ML engineer
Location: Atlanta, GA
#Role is on-site
#10+ years profile usc/Gc only
Depends on experience
Objectives of this role
  • Design and develop machine learning algorithms and deep learning applications and systems for [Company X]
  • Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
  • Identify differences in data distribution that could potentially affect model performance in real-world applications
  • Ensure algorithms generate accurate user recommendations
  • Stay up to date with developments in the machine learning industry
Responsibilities
  • Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
  • Run machine learning tests and experiments, and document findings and results
  • Train, retrain, and monitor machine learning systems and models as needed
  • Construct optimized data pipelines to feed machine learning models
  • Consult with managers to determine and refine machine learning objectives
  • Extend existing machine learning libraries and frameworks
Skills and qualifications
  • Impeccable analytical and problem-solving skills
  • Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
  • In-depth knowledge of machine learning frameworks, like Keras or PyTorch
  • Familiarity with data structures, data modeling, and software architecture
  • Excellent time management and organizational skills
  • Desire to learn
Preferred qualifications
  • Proven experience as a machine learning engineer or similar role
  • Familiarity with Python, Java, and R
  • Excellent communication and collaboration skills
  • Innovative mind with a passion for continuous learning
  • General knowledge of building machine learning systems
  • Bachelor's degree (or equivalent) in computer science, mathematics, or related field

Skills:
AI / ML,Machine Learning