Senior Machine Learning Engineer - Remote

Overview

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.

In Short

• Design, implement, and optimize machine learning models for healthcare applications.
• Develop and maintain the full lifecycle of machine learning solutions.
• Collaborate with data engineers to build and maintain data pipelines.
• Write clean, efficient, and maintainable code for machine learning applications.
• Continuously monitor and improve the performance of machine learning models.
• Work closely with cross-functional teams to translate business requirements into technical solutions.
• Provide guidance and mentorship to junior engineers.
• Opportunity to work on impactful projects that improve healthcare outcomes.
• Flexible work arrangements, including remote options.
• Competitive salary and benefits package.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data Science or Mathematics.
• Minimum of 5 years of experience in machine learning development.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• 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).
• Understanding of healthcare data standards (e.g., HL7, FHIR) is a plus.
• 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.

Benefits

• 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.