Lead - Data Scientist & AI (Chennai)

Job Family : Data Science & Analysis (India) Travel Required : Up to 10% Clearance Required : None 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 masters 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. - Solid 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. Job Family : Data Science & Analysis (India) Travel Required : Up to 10% Clearance Required : None 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 masters 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. - Solid 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 fact