AI Architect

Job Description

As an AI Architect at Innovaccer, you will be at the forefront of designing, training, and fine-tuning foundational models with healthcare-specific data. You will be critical in integrating these technologies into our healthcare products, ensuring they operate effectively in a production environment. Your expertise will help us to revolutionize healthcare delivery, improve patient outcomes, and maintain compliance with industry regulations. A Day in Life Fine-tuning state-of-the-art small language models (SLMs) like Llama-3.1-8B or Phi-3.5-3B on diverse healthcare datasets.Evaluating and optimizing various inference and serving frameworks (e.g., Triton, TensorRT, VLLM, TGI).Read about the most recent AI model architectures.Collaborating with product teams to review and refine architecture designs incorporating AI.Troubleshooting AI deployment issues in customer environments, ensuring smooth operation and optimal performance.Authoring and presenting technical documentation and white papers and showcasing breakthroughs in internal and external forums. ResponsibilitiesDesign, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-specific datasets, focusing on accuracy and clinical relevance.Collaborate with cross-functional teams (product, engineering, clinical) to seamlessly integrate AI/ML technologies into our product 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 healthcare industry trends to drive innovation within Innovaccer.Create high-quality intellectual property (white papers, case studies, conference presentations) showcasing Innovaccer's technical leadership.Ensure all AI solutions adhere to healthcare standards and regulatory requirements (HIPAA, GDPR, etc.).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 clinical 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 healthcare use cases. Qualifications Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.Minimum of 7 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.).Proven experience in healthcare AI applications, including a solid understanding of healthcare data standards (FHIR, HL7) and regulatory compliance (HIPAA, SOC2, NIST).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.A strong publication record in top-tier AI/ML conferences (NeurIPS, ICML, KDD, CVPR, AAMAS, etc.) is highly desirable.Experience with cloud computing platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is a plus.