Lead Data Scientist

Lead - Data Scientist & AI

Job Family:

Travel Required:

Clearance Required:

What You Will Do:

• Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance.
• Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings.
• Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance.
• Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation.
• Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures.
• Provide technical guidance and mentorship to junior AI engineers and team members.
• Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development.
• Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases.
• Ensure AI solutions can seamlessly integrate with existing systems and applications.

What You Will Need:

• Bachelors or master's in computer science, Artificial Intelligence, Machine Learning, or a related field.
• 4 to 6 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models.
• Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
• Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.).
• Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred.
• Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors.
• Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment.
• Worked on a minimum of 2 AI/LLM projects from the beginning to the end with proven value for business.

What Would Be Nice To Have:

• Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus.
• Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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