Sr. Machine learning Engineer

Job Title: Sr. Machine learning Engineer

Job Location: Rockville, MD

Mode of Interview: Video

Job Duration: Long term

Job Description:

Senior Machine Learning Operations Engineer

MultiPlan pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized and scalable action plans to help our customers thrive.

The Senior Machine Learning Operations Engineer will join our growing data science team to take a lead role in architecting and implementing processes and technologies to make machine learning development and deployment pipelines faster, more reliable, reproducible, and efficient.
Experience : 12 to 14yrs.
Required Skills : Technical Skills : Machine Learning ,Python ,API Domain Skills : Payer 5. Nice to have skills : Technical Skills : PL/SQL ,3NF data modeling Domain Skills : 6. Technology : Analytics 7. Shift : Day General
Roles & Responsibilities :

• Contribute to the design and implementation of MLOps processes to support the development, deployment, and operation of data science applications
• Partner with data science developers to build, test, and deploy containerized data science applications
• Support model monitoring activities to maintain the health of models in operation
• Contribute to the operation and maintenance of components of our data science platform
• Support integration of machine learning pipelines into other systems and products as needed based on business requirements
• Communicate and collaborate within the data science team and across other departments
• Ensure compliance with HIPAA regulations and requirements
• Demonstrate the company's core competencies and values
• Bachelor's degree in computer science, mathematics, statistics or a related quantitative field (Master's or Doctorate preferred)
• 4+ years professional experience in data science with emphasis on engineering and production operations (2+ years with advanced degree)
• Experience deploying machine learning models into production
• High level of comfort with Python
• Comfortable with data science operational technologies (Docker, containers, Kubernetes, etc.)
• Comfortable with API design, construction, and testing
• Working knowledge of foundational data science concepts (probability, distributions, modeling algorithms, etc.)
• Experience building data pipelines and working with common data storage systems (relational databases, object storage, etc.)
• Experience with DevOps tools and concepts
• Be keen to work on a variety of projects and independently search for creative solutions with minimal supervision
• You communicate complex topics clearly and effectively and value diverse perspectives
• Demand Requires Travel? : No
• Certification(s) Required : NA