Senior Machine Learning Engineer

Inovalon•Nashville, TN

6d•Hybrid

About The Position

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. 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. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, or I.T.
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., TensorFlow, PyTorch, scikit-learn).
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 frontend and backend development, including frameworks such as React, Node.js, and Django.
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.

Nice To Haves

Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.

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.
On-Call Support: Advance and standardize CI/CD frameworks. Participate in an on-call rotation to resolve critical incidents within SLA-defined timeframes, with performance measured by incident resolution metrics and post-incident reviews.
Compliance & Confidentiality: Ensure ongoing compliance with Inovalon’s policies, HIPAA, and all regulatory requirements. Lead regular internal audits and compliance reviews, maintaining a state of audit-readiness and proactively mitigating risks related to data handling and service delivery.