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Computer Vision Machine Learning Engineer Jobs in Georgia

Senior Machine Learning Engineer

Atlanta, GA ยท On-site +1

$117.80K - $155.30K/yr

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 ...

Sr. Machine Learning Engineer

GA ยท Remote

$100.50K - $138K/yr

Define and drive the technical vision and architecture for AI systems within Realm-X * Design and ... D. in Computer Science, Machine Learning, or a related technical field (required) * Extensive ...

Sr. Machine Learning Engineer

Atlanta, GA ยท Remote

$100.50K - $138K/yr

Define and drive the technical vision and architecture for AI systems within Realm-X * Design and ... D. in Computer Science, Machine Learning, or a related technical field (required) * Extensive ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Company-subsidized medical, dental, & vision plans * 401(k) plan with company match * Annual bonus

Senior Machine Learning Engineer (Nova)

Atlanta, GA ยท On-site

$117.80K - $155.30K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning ... Medical, dental, vision, & life insurance * Balance Days (additional paid holidays) * Fertility ...

Sr Machine Learning Engineer

Atlanta, GA ยท On-site

$159.60K - $276K/yr

Proven understanding of machine learning algorithms (supervised, unsupervised) and model evaluation ... B.A./B.S. in Computer Science, Statistics, Mathematics, or similar Workday Pay Transparency ...

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Computer Vision Machine Learning Engineer information

See Georgia salary details

$41K

$102.6K

$116.1K

How much do computer vision machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for computer vision machine learning engineer in Georgia is $102,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $111,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Computer Vision Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience with image processing algorithms. Proficiency with frameworks like TensorFlow or PyTorch, knowledge of OpenCV, and experience with cloud computing platforms are commonly required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for integrating complex models into real-world applications. These skills and qualities are essential for developing innovative solutions that accurately interpret visual data and drive impactful results.

What are some common challenges Computer Vision Machine Learning Engineers face when deploying models to production environments?

One common challenge for Computer Vision Machine Learning Engineers is ensuring that models perform reliably in real-world conditions, which can vary significantly from controlled training datasets. Handling data drift, optimizing inference speed for deployment on edge devices, and integrating models into existing software pipelines all require close collaboration with software engineers, data scientists, and product teams. Additionally, managing hardware resource constraints and maintaining model accuracy as new data is collected are ongoing responsibilities. Staying up to date with the latest research and tools is essential to address these evolving challenges effectively.

What does a Computer Vision Machine Learning Engineer do?

A Computer Vision Machine Learning Engineer designs and develops algorithms that enable computers to interpret and understand visual data from the world, such as images and videos. They use machine learning techniques to train models for tasks like object detection, facial recognition, and image segmentation. These engineers typically work with large datasets, optimize models for accuracy and efficiency, and deploy solutions for real-world applications in industries like healthcare, automotive, robotics, and retail.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) working in computer vision develop and deploy AI models, but AI is a tool that enhances their work rather than replacing the role entirely. MLEs are needed to design, optimize, and maintain complex systems, especially when integrating new algorithms or handling data preprocessing. AI automation can assist with tasks, but human expertise remains essential for innovation and troubleshooting in the field.

What is the difference between Computer Vision Machine Learning Engineer vs Data Scientist?

AspectComputer Vision Machine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with CV frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops CV models, works with image/video data, often in AI/tech companiesAnalyzes data, builds predictive models, often in finance, healthcare, or tech
Industry UsageCommon in AI, robotics, autonomous vehicles, surveillanceUsed across finance, marketing, healthcare, and tech sectors

While both roles involve machine learning, Computer Vision Machine Learning Engineers focus on developing models for image and video data, often requiring specialized knowledge in CV frameworks. Data Scientists analyze diverse datasets to extract insights, with less emphasis on visual data. Both roles share foundational ML skills but differ in their application domains.

What job categories do people searching Computer Vision Machine Learning Engineer jobs in Georgia look for? The top searched job categories for Computer Vision Machine Learning Engineer jobs in Georgia are:
Infographic showing various Computer Vision Machine Learning Engineer job openings in Georgia as of May 2026, with employment types broken down into 88% Full Time, 3% Part Time, 3% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $102,605 per year, or $49.3 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Inovalon

Atlanta, GA โ€ข On-site, Remote

$117.80K - $155.30K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
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.

Inovalon Offers a Competitive Salary and Benefits Package
In addition to the base compensation, this position may be eligible for performance-based incentives.
The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.
Base Compensation Range
$151,800-$202,000 USD
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link