Senior Machine Learning Engineer
 Inovalon, Inc. | |
life insurance, paid time off, 401(k)
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 United States, Georgia, Atlanta | |
| 1201 Peachtree Street Northeast (Show on map) | |
 Jan 23, 2026 | |
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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. Job Title:Senior Full Stack Machine Learning Engineer About Us: Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is toleveragecutting-edgetechnology to improve health outcomes and streamline healthcare processes. We are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to join our dynamic team. Job Description: As a Senior Full Stack Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that drive our healthcare solutions. You will work closely with data scientists, software engineers, and product managers to build scalable and robust machine learning systems. Yourexpertisewill help us transform healthcare data into actionable insights,ultimately improvingpatient care and operational efficiency. Key Responsibilities: Model Development: Design, implement, andoptimizemachine learning models for various healthcare applications, including predictive analytics, natural language processing, andgenerative AI. End-to-EndDeployment:Develop andmaintainthe full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments. DataEngineering:Collaborate with data engineers to build andmaintaindata pipelines, ensuring the availability of high-quality data for training and inference. SoftwareDevelopment:Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems. PerformanceOptimization:Continuouslymonitorand improve the performance of machine learning models and systems, addressing issues related to scalability, latency, and accuracy. Collaboration:Work closely with cross-functional teams to understand business requirements and translate them into technical solutions. Mentorship:Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation. On-Call Support: Advance and standardize CI/CD frameworks.Participate in an on-call rotation to resolve critical incidents within SLA-definedtimeframes, with performance measured by incident resolution metrics and post-incident reviews. Compliance & Confidentiality: Ensure ongoing compliance withInovalon'spolicies, HIPAA, and all regulatory requirements. Lead regular internal audits and compliance reviews,maintaininga state of audit-readiness and proactively mitigating risks related to data handling and service delivery. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, or I.T. Experience: Minimum of 8 years total experience with 4+ years of experience in dedicated machine learning, with a proven track record of deploying models in production environments. TechnicalSkills:
Domain Knowledge:Understanding ofhealthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) isa plus. SoftSkills:
What We Offer:
Join us in our mission to transform healthcare through technology! We look forward to hearing from you. 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 valuablebenefits packagewith 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
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$228,000 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 thislink | |