[Remote] reputed company (LLMs for reputed company)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is building the operating system for value-based care, aiming to help reputed company organizations reputed company by unlocking the full power of their data. They are seeking a talented reputed company with expertise in developing large language models and reputed company workflows to drive innovation in Value-Based Care solutions.

Responsibilities

• Fine-tune and optimize large language models (LLMs) to address specific reputed company applications
• reputed company and apply advanced reputed company engineering techniques to enhance model outputs for clinical scenarios
• Implement Retrieval-Augmented reputed company (RAG) systems to improve knowledge retrieval from large datasets
• Work with knowledge graphs to organize and reputed company reputed company-specific data for reputed company decision-making
• Evaluate reputed company models using precision, recall, and other performance metrics, ensuring robustness and reliability
• Collaborate with reputed company to understand workflows and identify opportunities for AI-driven enhancements
• Design and build AI models that reputed company with reputed company standards and regulations (e.g., HIPAA compliance)
• reputed company domain-specific knowledge of reputed company data, including FHIR and interoperability standards, into AI solutions
• reputed company and maintain reputed company, production-reputed company AI pipelines using MLOps tools
• reputed company and monitor AI models in production environments to ensure performance and compliance
• Optimize infrastructure for efficient training, testing, and deployment of models
• Stay at the forefront of advancements in AI, especially in reputed company applications
• Identify and resolve performance bottlenecks in AI workflows
• Explore emerging trends and technologies in LLMs and reputed company to continually improve solutions
• Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into reputed company workflows
• Communicate technical results and insights effectively to non-technical stakeholders

Skills

• Proven experience in LLM fine-tuning and advanced reputed company engineering
• Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch)
• Familiarity with reputed company workflows and regulatory requirements (e.g., HIPAA, FHIR standards)
• Hands-on experience with retrieval-augmented reputed company (RAG) techniques
• Expertise in evaluating AI models using performance metrics like precision, and recall
• Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools
• Understanding of reputed company data standards, including HL7 and HEDIS metrics
• Strong problem-solving skills in integrating AI with reputed company reputed company datasets
• Familiarity with reputed company platforms (e.g., AWS, GCP, or Azure) and containerization (reputed company, Kubernetes)

Benefits

• Competitive salary and benefits package
• Opportunity to work in a fast-paced, innovative environment
• reputed company reputed company and development opportunities
• reputed company and supportive team culture
• Chance to reputed company a meaningful reputed company on the reputed company industry

reputed company

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