Job Url: https://jobright.ai/jobs/info/6973bb8e37785856350d9066 Job Description: Inovalon ยท 1 hour ago Senior Machine Learning Engineer United States Full-time Remote Senior Level, Lead/Staff $152K/yr - $228K/yr 8+ years exp 94% STRONG MATCH 100% Exp. Level 88% Skill 95% Industry Exp. Maximize your interview chances Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. They are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to design, develop, and deploy machine learning models that drive healthcare solutions and improve patient care. Analytics Health Care Information Technology No H1B Insider Connection @Inovalon 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network C Charles Y. AI, Machine Learning Director From Your Previous Company F F F & 2 connections Previously@undefined and... From Your School F F F & 2 connections @undefined and... Find Any Email 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 Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Python Machine Learning Cloud Platforms Data Engineering Generative AI Big Data Technologies Frontend Development Backend Development Problem-Solving Communication Collaboration Required 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) 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 frontend and backend development, including frameworks such as React, Node.js, and Django Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) 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