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Home Based Python Machine Learning Jobs in Georgia

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

... Python-based ML components that work seamlessly with existing product platforms across multiple ... machine learning fundamentals and model training. • Expert-level Python proficiency; Python is ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Develop and integrate Python-based ML components that work seamlessly with existing product ...

Athena Technology Group

Develop Python-based tools and packages for data analysis and machine learning applications * Deploy and maintain notebook-based data science environments such as JupyterHub * Visualize data insights ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159.60K - $276K/yr

Strong programming skills in Python with proficiency in relevant libraries (pandas, scikit-learn ... Workday pay ranges vary based on work location. As a part of the total compensation package, this ...

4P Consulting Inc.

Machine Learning Engineer 1 or 2

Atlanta, GA · On-site

$110.20K - $132.30K/yr

... Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure). • ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Saince is a two-decades old, USA based health information technology solutions and services ... Python, R, or SAS * Experience with data mining techniques for large-scale datasets, including both ...

Omnissa

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162.51K - $342.75K/yr

Strongproficiencyin Python and ML frameworks (e.g.,PyTorch, TensorFlow,Scikitlearn). * Experience ... Actual compensation offer may vary from posted hiring range based upon geographic location, work ...

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Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Georgia? For Home Based Python Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Georgia look for? The top searched job categories for Home Based Python Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Home Based Python Machine Learning jobs? Cities in Georgia with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Inovalon

Atlanta, GA • On-site

$117.80K - $155.30K/yr

Full-time

Posted 20 days ago

Job description

Job Summary:
Inovalon is a leading cloud-based healthcare technology company that leverages data analytics and AI to drive meaningful improvements across the healthcare ecosystem. The Senior Machine Learning Engineer will design, train, and deploy machine learning models, collaborating with various business units to improve clinical and operational outcomes at scale.
Responsibilities:
• Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.
• Build and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.
• Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.
• Develop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.
• Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.
• Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.
• Write robust, production-ready code following engineering best practices; participate in code and design reviews.
• Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.
• Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.
• Support integration of frontend components into ML-powered features where applicable.
• Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.
• Adhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.
• Maintain compliance with Inovalon’s policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.
Qualifications:
Required:
• Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training.
• Expert-level Python proficiency; Python is the team’s primary language and is the highest-priority technical requirement.
• Hands-on experience building and deploying classical ML models in production using scikit-learn.
• Demonstrated experience with generative AI, LLMs, or agentic application development.
• Proficiency with PyTorch and neural network architectures.
• Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.
• AWS cloud experience, including deploying and managing cloud-native workloads.
• Containerization experience with Docker and/or Kubernetes.
• Strong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges.
• Daily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.
• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related technical field required.
Preferred:
• Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling.
• Frontend development skills to support full-stack ML feature work.
• Healthcare domain experience or exposure to HIPAA-regulated environments.
• Master’s degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred.
Company:
A technology company combining data analytics and targeted interventions to achieve meaningful impact across the healthcare landscape. Founded in 1998, the company is headquartered in Bowie, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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