• Process and transform production data to prepare it for AI model training. • Oversee and manage model training and development workflows. • Fine-tune existing models to improve performance and accuracy. • Work with Colab, GitHub, and Python to develop, test, and optimize AI models. • Stay up to date with the latest advancements in AI and deep learning research. • Collaborate with engineers and data scientists to implement AI solutions in production environments.

• Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports • Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation • Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code • Initiating/proposing unique and promising deep learning capabilities, developing new and innovative algorithms and technologies, pursuing patents and research publications where appropriate • Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities

• By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare. • The Senior Engineer, AI is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. • The successful candidate will work closely with data scientists and product leads to implement AI models, build required data and code pipelines through rigorous engineering disciplines. • Coordinate between Data Scientists and Product Analysts. • Automate infrastructure used by the Data Science team. • Design, develop, and deploy advanced AI models and algorithms to solve complex business problems. • Test and deploy models. • Develop minimum viable products based on machine learning. • Automate processes by utilizing machine learning. • Lead AI projects from conception to implementation, ensuring timely delivery and high-quality outcomes. • Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making. • Advanced experience in programming, software engineering, and data science fields. • Mentor and coach junior associates on the team. • Ability to utilize various tools and methods to process data as well as create and keep up AI systems. • Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations.

• Architect, design, and implement state-of-the-art Generative AI models (auto-regressive, diffusion, Discrete Diffusion, Hybrid SSM etc ) and advance the SOTA. • Leverage your expertise to effectively train, fine-tune, and optimize models that impact LLMs (Multimodal & Multilingual), shaping them for optimal accuracy, naturalness, and performance. • Collaborate closely with cross-functional teams comprising agentic AI scientists, software engineers, and domain experts. • By understanding their requirements, you will collaboratively develop customized solutions that leverage the prowess of LLMs/MLLMs. • Innovate and enhance existing applications by integrating the power of LLMs/MLLMs, thereby ensuring optimal performance and speed even on resource-constrained platforms. • Stay fully abreast of the latest advancements, trends, and research in the realms of Generative AI, Conversational AI, and language modeling, actively incorporating new techniques, technologies, and best practices to continually enhance the overall performance of our systems.