1

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

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

ML Software Engineering Lead

Atlanta, GA · On-site

$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 ...

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

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 ...

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 21-40

Python Ml Developer information

See Cumming, GA salary details

$11

$52

$76

How much do python ml developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python ml developer in Cumming, GA is $52.29, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $59.42 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 Cumming, GA?

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

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

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

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

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

Infographic showing various Python Ml Developer job openings in Cumming, GA as of July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $108,773 per year, or $52.3 per hour.

Data scientist with Python and AI/ML consultant.

Accord Technologies Inc.

Alpharetta, GA • On-site

Contractor

Re-posted 5 days ago


Job description

Title: Data Scientist with Python and AI/ML consultant.
Location: Alpharetta, GA (100% onsite)
Inperson interview required
Position type; W2 contract

We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.

Key Responsibilities

  • Develop and deploy machine learning models using Python.

  • Perform data exploration, feature engineering, and model evaluation.

  • Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.

  • Work with large datasets using SQL, Pandas, NumPy, Spark.

  • Implement deep learning models using TensorFlow / PyTorch.

  • Develop NLP pipelines using spaCy, NLTK, HuggingFace.

  • Collaborate with product and engineering teams to operationalize models (MLOps).

  • Monitor model performance and retrain as required.

  • Create dashboards and presentations for stakeholders.

  • Support experimentation and A/B testing frameworks.

Required Skills

  • Strong proficiency in Python for data science and ML.

  • Experience with Scikit-learn, TensorFlow, PyTorch.

  • Strong knowledge of statistics, probability, and linear algebra.

  • Experience with SQL and big data tools (Spark, Hadoop).

  • Hands-on experience with NLP, computer vision, or recommendation systems.

  • Knowledge of MLOps, CI/CD for ML models.

  • Experience deploying models in cloud environments (AWS/Azure/GCP).