[Hiring] Senior MLOps/AI Engineer @Claritev

Role Description

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

Claritev 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.

Job Roles and Responsibilities

• Contribute to the design and implementation of MLOps, LLM Ops, and AgenticAI Ops, processes to support development and deployment of data science solutions.
• Contribute to the design and implementation of a model monitoring system to track model performance, model behavior, and data characteristics and to support rapid, human-in-the-loop, model retraining and validation when needed.
• Deploy and test machine learning models as containerized services with API endpoints.
• Support integration of machine learning pipelines into other systems and products as needed based on business requirements.
• Find opportunities to simplify workflows, automate tasks, and build components that are reusable across multiple projects.
• 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 held within.
• Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk Role.

Qualifications

• Must have 6+ years professional experience in data science or machine learning with emphasis on engineering. Experience must include deploying machine learning models into production and implementing systems to support MLOps processes. Experience working with recent LLMOps, AgenticAI Ops is strongly preferred.
• High level of comfort with Python.
• Knowledge of foundational statistical concepts (probability, distributions, inference, etc.).
• Comfortable with containerization and orchestration technologies (Docker, Kubernetes, etc.). Experience with DevOps tools and concepts.
• Experience building data pipelines and working with common data storage systems (relational databases, object storage, file systems, etc.).
• You are intellectually curious and a self-directed problem solver, keen to work on a variety of projects and independently search for creative solutions.
• You communicate clearly and effectively and value diverse perspectives.
• Bachelor's degree in computer science, mathematics, statistics or a related quantitative field (Master's or Doctorate preferred).

Requirements

• The salary range for this position is $165K to $185K. Specific offers take into account a candidate's education, experience and skills, as well as the candidate's work location and internal equity.
• This position is also eligible for health insurance, 401k and bonus opportunity.

Benefits

• Medical (PPO & HDHP), dental and vision coverage.
• Pre-tax Savings Account (FSA & HSA).
• Life & Disability Insurance.
• Paid Parental Leave.
• 401(k) company match.
• Employee Stock Purchase Plan.
• Generous Paid Time Off -- accrued based on years of service.
• 10 paid company holidays.
• Tuition reimbursement.
• Employee Assistance Program.
• Sick time benefits -- for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits.