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Claritev

Senior MLOps/AI Engineer

Claritev

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USA Full-time $120,000 - $160,000 1w ago 34 views
MLOpsPythonDockerKubernetesData ScienceMachine Learning

Job Description

### Company Overview At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders, driving us to consistently exceed expectations. We foster innovation, nurture accountability, champion diversity, and empower each other to illuminate our collective potential. ### Job Summary Claritev pioneers innovative solutions for healthcare payments, utilizing unique insights and data analysis to create customized and scalable action plans. The Senior Machine Learning Operations Engineer will join our growing data science team to lead the architecture and implementation of processes and technologies that enhance machine learning development and deployment pipelines. ### Responsibilities 1. Design and implement MLOps, LLM Ops, and AgenticAI Ops processes to support data science solutions. 2. Develop a model monitoring system to track performance, behavior, and data characteristics for rapid retraining and validation. 3. Deploy and test machine learning models as containerized services with API endpoints. 4. Integrate machine learning pipelines into other systems based on business requirements. 5. Simplify workflows, automate tasks, and build reusable components across projects. 6. Collaborate with the data science team and other departments. 7. Ensure compliance with HIPAA regulations. 8. Demonstrate the company's core competencies and values. ### Qualifications - 6+ years of professional experience in data science or machine learning with a focus on engineering. - Experience deploying machine learning models into production and implementing MLOps processes. - High level of comfort with Python. - Knowledge of foundational statistical concepts. - Proficient with containerization and orchestration technologies (Docker, Kubernetes). - Familiarity with DevOps tools and concepts. - Experience building data pipelines and working with common data storage systems.

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34 viewed 1w ago

About Claritev

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