Note: The job is a remote job and is open to candidates in USA. Claritev is a healthcare technology company focused on making healthcare more transparent and affordable through data, technology, and expertise. The Senior Applied AI Scientist will lead the research, development, and production deployment of predictive, generative, and agentic AI systems that improve healthcare workflows, outcomes, and operational efficiency. The role partners with Product, Engineering, business stakeholders, and clients to deliver scalable, measurable AI solutions while supporting model governance and compliance.
Responsibilities
- Design, develop, and deploy machine learning and AI models in production environments
- Build predictive, generative, and optimization models to improve healthcare outcomes and operational efficiency
- Improve existing models and systems with measurable impact on performance, scalability, or business metrics
- Research and evaluate emerging AI technologies, foundation models, and agentic systems to identify opportunities for new products and capabilities
- Design and implement novel machine learning and optimization methodologies tailored to complex healthcare data and workflows
- Drive experimentation and rapid prototyping to accelerate innovation and product development
- Partner with Product, Engineering, and business stakeholders to translate AI capabilities into scalable solutions
- Identify opportunities to leverage Claritev’s data assets to create new AI-driven products, insights, and automation capabilities
- Collaborate directly with clients to gather feedback and ensure solutions deliver measurable value
- Write high-quality, scalable, and production-ready code
- Work closely with Engineering and DevOps teams to deploy and maintain models in production systems
- Develop monitoring frameworks to ensure model performance, reliability, and data quality over time
- Collaborate cross-functionally with Product Managers, Engineers, Data Scientists, and domain experts
- Contribute to team knowledge sharing, code reviews, and best practices
- Provide guidance and informal mentorship to junior team members where appropriate
- Follow best practices for data privacy, security, and compliance (e.g., HIPAA)
- Support model validation, monitoring, and responsible AI practices
Skills
- Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
- 3–6 years of experience post-MS, or 0–3 years post-PhD applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production
- 1-2 years of hands-on experience with Generative AI and agent development
- Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n)
- Expertise in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows
- Experience in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency
- Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc
- Strong foundation in ML theory, including deep learning, statistics, or optimization
- A product-oriented mindset, with the ability to align applied science work with business objectives and impact
- Excellent communication and cross-functional collaboration skills
- Healthcare or health services experience is a plus
Benefits
- Annual performance bonus
- Health insurance
- Medical, dental, and vision coverage
- Life and disability coverage
- 401(k) with company match
- Employee stock purchase plan
- Flexible spending accounts and health savings accounts
- Paid parental leave
- Mental health resources
- Tuition reimbursement
- Financial planning resources
- Professional development opportunities
Company Overview
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