Inovalon · 4 hours ago
Senior Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$152K/yr - $228K/yr
8+ years expInovalon 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.
AnalyticsHealth CareInformation Technology
No H1B
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
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
Benefits
Health insurance
Life insurance
Company-paid disability
401k
18+ days of paid time off
Company
Inovalon
A technology company combining data analytics and targeted interventions to achieve meaningful impact across the healthcare landscape.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-08-19Acquired
2015-02-12IPO
Leadership Team
Geoff Charron
Chief Technology Officer
Recent News
Business Wire
2025-12-04
Company data provided by crunchbase