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Machine Learning Jobs in Dallas, GA (NOW HIRING)

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 serves as Inovalon's central AI and machine learning hub. This team partners with Provider, Payer, and ...

The Lead builds and scales machine learning models across the company, from design through production, and brings deep skill in one area such as deep learning, generative AI, computer vision ...

Machine Learning Lead Engineer

Smyrna, GA · On-site

$134K - $224K/yr

The Lead builds and scales machine learning models across the company, from design through production, and brings deep skill in one area such as deep learning, generative AI, computer vision ...

The Lead builds and scales machine learning models across the company, from design through production, and brings deep skill in one area such as deep learning, generative AI, computer vision ...

The Lead builds and scales machine learning models across the company, from design through production, and brings deep skill in one area such as deep learning, generative AI, computer vision ...

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Machine Learning information

See Dallas, GA salary details

$23K

$38.5K

$79.5K

How much do machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning in Dallas, GA is $38,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Dallas, GA? The most popular types of Machine Learning jobs in Dallas, GA are:
What job categories do people searching Machine Learning jobs in Dallas, GA look for? The top searched job categories for Machine Learning jobs in Dallas, GA are:
What cities near Dallas, GA are hiring for Machine Learning jobs? Cities near Dallas, GA with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Dallas, GA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $38,471 per year, or $18.5 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Inovalon

Atlanta, GA • On-site, Remote

$117K - $155K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 6 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