Inovalon
Senior AI/ML Engineer
Job Summary
Inovalon seeks an experienced Senior Full Stack Machine Learning Engineer to develop, deploy, and optimize machine learning models tailored to healthcare applications. The role involves collaborating with data scientists, software engineers, and product managers to create scalable AI solutions, including natural language processing and generative AI. Candidates should have at least 5 years of experience, proficiency in Python and ML libraries, and familiarity with cloud, containerization, and healthcare data standards. The position offers opportunities for impactful work, professional growth, and flexible working options in a collaborative environment.
Required Skills
Benefits
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.
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 to leverage cutting-edge technology 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 full-cycle Sr. 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. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.
Key Responsibilities:
Model Development: Design, implement, and optimize machine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.
End-to-End Deployment: Develop and maintain the full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments.
Data Engineering: Collaborate with data engineers to build and maintain data pipelines, ensuring the availability of high-quality data for training and inference.
Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.
Performance Optimization: Continuously monitor and 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.
Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven.
Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science or Mathematics
Experience: Minimum 7 years of data engineering experience with 4 years of experience in AI & machine learning development, with a proven track record of deploying models in production environments.
Technical Skills:
· Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
· Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
· Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
· Strong knowledge of data structures, algorithms, and software engineering best practices.
· Familiarity with big data technologies (e.g., Snowflake) and data pipeline tools (e.g., Airflow, Kafka).
· Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.
Soft Skills:
· Excellent problem-solving and analytical skills.
· Strong communication and collaboration abilities.
· Ability to work independently and as part of a team in a fast-paced environment.
What We Offer:
· Competitive salary and benefits package.
· Opportunity to work on impactful projects that improve healthcare outcomes.
· Collaborative and innovative work environment.
· Professional development and growth opportunities.
· Flexible work arrangements, including remote options.
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 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.
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
Inovalon
A technology company providing data-driven solutions for healthcare organizations to improve patient outcomes and operational efficiency.
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