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Junior Machine Learning Jobs in Georgia (NOW HIRING)

Inovalon

Senior Machine Learning Engineer

Atlanta, GA

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling ...

Inovalon, Inc.

Senior Machine Learning Engineer

Atlanta, GA · On-site

$118K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling ...

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

This role requires strong expertise in advanced analytics, machine learning, statistical modeling ... Mentor junior data scientists and analysts * Contribute to best practices and data science ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

This role involves advanced analytics, machine learning, and strong problem-solving skills to ... Provide guidance and mentorship to junior data scientists and analysts, fostering their ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

... machine learning, AI, and data science best practices. • Mentor junior data scientists and disseminate technical knowledge within the organization. • Review code and model implementations of ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... machine learning, AI, and data science best practices. • Mentor junior data scientists and disseminate technical knowledge within the organization. • Review code and model implementations of ...

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Junior Machine Learning information

See Georgia salary details

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How much do junior machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for junior machine learning in Georgia is $22.76, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $28.03 per hour, depending on experience, location, and employer.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Georgia? The most popular types of Machine Learning jobs in Georgia are:
What are popular job titles related to Junior Machine Learning jobs in Georgia? For Junior Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Georgia look for? The top searched job categories for Junior Machine Learning jobs in Georgia are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Georgia as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $47,343 per year, or $22.8 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Inovalon

Atlanta, GA

$117K - $155K/yr

Other

Re-posted 4 days ago

Job description

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 Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon's central AI and machine learning hub. This team partners with Provider, Payer, and Pharmacy business units to identify, build, and deploy AI solutions that improve clinical and operational outcomes at scale. 

In this role, you will contribute to both classical machine learning and generative AI applications, including LLM-based and agentic solutions. You will work across the full model development lifecycle on a modern, cloud-native AWS stack, collaborating closely with AI Product Managers and a distributed team of senior engineers across the U.S. and India. 

Key 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. 

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. 

Education 

  • Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical field required. 
  • Master's degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred. 

Physical Demands and Work Environment 

  • Sedentary work (i.e., sitting for long periods of time). 
  • Exerting up to 10 pounds of force occasionally and/or a negligible amount of force. 
  • Subject to inside environmental conditions. 
  • Travel for this position will include less than 10% locally, usually for training purposes. 

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