ASSOCIATE DIRECTOR, ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Job Description - Associate Director, Artificial Intelligence and Machine Learning (240073) Alnylam Pharmaceuticals is seeking an Associate Director, Artificial Intelligence & Machine Learning to shape the future of our newly established Artificial Intelligence (AI) Center of Excellence. The candidate will be responsible for leading the development and execution of advanced generative AI and Machine Learning solutions, leveraging cloud technologies and the power of Generative AI, including Large Language Models. Key Responsibilities Lead the design, development, and delivery of AI and Machine Learning solutions focused on NLP, ML and Robotic Process Automation, ensuring the adoption of cutting-edge techniques and technologies, using pertinent AWS, Google and other cloud technologies. Execute (prioritized) AI portfolio projects, reinforcing technology innovation, and responsible AI practices and governance throughout the project lifecycle. Proactively identify opportunities where AI and ML can deliver business results. Develop and integrate AI capabilities with our existing systems and business workflows. Keep abreast of latest developments in the field of AI and ML and incorporate these advancements into our organization. Conduct deep data and model analysis on Large Language Models to derive the optimal solutions for business insights and to make strategic decisions. Collaborate with other leaders and Business, IT stakeholders to drive AI initiatives, meeting Alnylam’s strategic objectives. Promote a culture of continuous learning and knowledge sharing in emerging AI and Machine Learning technologies. Liaise with vendors and service providers to select the products or services that best meet Alnylam goals. Select and implement the appropriate tools, software, applications, and systems to support AI & ML goals. Qualifications Bachelor’s degree in computer science, Engineering, Data Science, Statistics, or a related field. Master’s degree or PhD preferred. Preferred experience in the pharmaceutical or healthcare industry. Minimum of 5 years of hands-on experience in Python programming. Minimum of 1 year of expertise in designing and implementing AI and ML algorithms using Python. Hands-on experience working with open-source LLM/CV models and platforms/methodologies such as Hugging Face, RAG, LangChain and AWS Bedrock. Experience in the complete ML development lifecycle, utilizing frameworks like Pytorch, Tensorflow, and Lightning. Solid understanding of other deep learning architectures, including CNN and RNN. Experience in deploying ML models using AWS services, notably SageMaker, EC2, Lambda, among others. Demonstrable expertise in vector databases, with practical experience in tools like Pinecone and AWS Kendra. Proven project management experience and ability to take ownership of challenges from start to finish, demonstrating a willingness to learn and adapt to ensure the success of projects. High capacity for multitasking, adeptness at managing multiple projects simultaneously, strong prioritization skills, and a knack for navigating ambiguous situations with ease. Good knowledge of applicable data privacy and regulatory practices and laws in biopharma. #J-18808-Ljbffr