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Machine Learning Engineer Associate Jobs in Atlanta, GA

Inovalon

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

The Senior Machine Learning Engineer will contribute to both classical machine learning and generative AI applications, working across the full model development lifecycle on a modern, cloud-native ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet ...

GBG

Senior Machine Learning Engineer (3967)

Atlanta, GA · On-site

$100.50K - $138K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

Iterable

Senior Machine Learning Engineer (Nova)

Atlanta, GA

$117.80K - $155.30K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova's agentic experiences. This role focuses on applied Machine Learning in production ...

Iterable

Senior Machine Learning Engineer (Nova)

Atlanta, GA · On-site

$117.80K - $155.30K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova's agentic experiences. This role focuses on applied Machine Learning in production ...

Optimal Inc.

ML Engineer

Embry Hills, GA · On-site

Machine Learning Engineer Job Summary We are seeking a Machine Learning Engineer with strong expertise in machine learning, deep learning, and computer vision. The ideal candidate will have ...

New

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

* Senior MLOps Engineer (Contractor) About the Role: * Client is seeking an experienced Senior MLOps Engineer to join client's Data Science Enablement (MLOps) team as a contractor. * Candidates will be ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Workday

Sr Machine Learning Engineer

Atlanta, GA

$159.60K - $276K/yr

... Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch) Other Qualifications: * Strong programming skills in Python with proficiency in relevant libraries ...

Deloitte

AI Solutions Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

... Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert Company : Deloitte is a business consulting ...

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Machine Learning Engineer Associate information

See Atlanta, GA salary details

$39.9K

$79.5K

$126.9K

How much do machine learning engineer associate jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning engineer associate in Atlanta, GA is $79,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $91,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in Atlanta, GA? The most popular types of Machine Learning Engineer jobs in Atlanta, GA are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Atlanta, GA? For Machine Learning Engineer Associate jobs in Atlanta, GA, the most frequently searched job titles are:
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What cities near Atlanta, GA are hiring for Machine Learning Engineer Associate jobs? Cities near Atlanta, GA with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Inovalon

Atlanta, GA • On-site

$117.80K - $155.30K/yr

Full-time

Posted 25 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 contribute to both classical machine learning and generative AI applications, working across the full model development lifecycle on a modern, cloud-native AWS stack.
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.
• 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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