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. 📍Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA). 📍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. 📍Implement robust security protocols to protect sensitive data from breaches and unauthorized access. 📍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. 📍10+ year industry experience with minimum of 5 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.

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