Inovalon
Healthcare
StaffMachineLearningEngineerL5
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Machine Learning Engineer L5 at Inovalon. Skills: Machine learning, Generative AI, Full stack development. Design machine learning models. Implement machine learning models”
What You'll Achieve.
Improve health outcomes; Streamline healthcare processes; Transform healthcare data; Improve patient care; Improve operational efficiency
Industry & Context.
Problem-solving skills; Analytical skills
What They're Looking For.
Must Have
Bachelor’s or Master’s degree, 8+ years experience
Nice to Have
Ph. D. is a plus, Building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus
What You'll Do.
Design machine learning models
Implement machine learning models
Optimize machine learning models
Develop machine learning solutions
Maintain machine learning solutions
Maintain data pipelines
Write maintainable code
Monitor model performance
Improve model performance
Address scalability issues
Address latency issues
Address accuracy issues
Understand business requirements
Translate requirements to solutions
Provide guidance to engineers
Mentor junior engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Software engineers; Product managers
Communication Scope
Communication abilities
Full Job Description
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 Staff 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
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