Senior AI​/ML Engineer

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 AI / ML 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-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 Senior AI/ML 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, andoptimizemachine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.

End-to-End Deployment:

Develop andmaintainthe 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 andmaintaindata 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:

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 with Inovalon'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:

• 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.
• Proficiency in Python and relevant ML libraries (e.g., Tensor Flow,PyTorch, scikit-learn).

• Proficiency in building applications leveraging generative AI technologies which includes LLM's, prompt engineering, Vector Databases, RAG architectures and transfer learning.

• 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., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).

• Experience with frontendand backend development, including frameworks such as React, Node.js, and Django.
• Domain Knowledge:
  Understanding of healthcare data…