Job Title Manager RDU IT - Data Science Introduction to role Are you ready to lead the charge in developing cutting-edge Generative AI solutions As a Manager RDU IT - Data Science you ll be at the forefront of innovation reporting directly to the IT Director of Data Science within the Alexion IT RDU organization Your mission To craft and deploy AI models that tackle our most pressing business challenges Dive into the world of Machine Learning and Generative AI and help us scale production-ready models that make a real impact Accountabilities - Lead the development and refinement of Generative AI systems and applications using state-of-the-art models to solve complex business problems - Contribute to the development and maintenance of MLOps infrastructure and tools for Machine Learning and Generative AI models - Participate in the full lifecycle development of Generative AI agents ensuring meaningful interaction with users or environments - Support the integration of pre-trained Generative AI models into custom applications for new functionalities - Collaborate with senior engineers to design interactive systems using Generative AI for dynamic content or decision support - Contribute to building and maintaining infrastructure for running Generative AI applications - Aid in implementing user interfaces or API endpoints for seamless interaction with Generative AI functionalities - Assist with data pipelines and preprocessing steps for feeding Generative AI models with appropriate data - Help monitor the operational health of Generative AI applications in production identifying areas for improvement or optimization - Contribute to developing assets frameworks and reusable components for Generative AI Machine Learning and MLOps practices - Engage with stakeholders to gather feedback and iteratively improve upon Generative AI applications features and capabilities - Support the integration of Generative AI models within the Machine Learning ecosystem ensuring ethical use and business relevance - Assist with monitoring and governance of Generative AI models to align with evolving business and regulatory requirements Essential Skills Experience - Bachelor s degree in Computer Science Electrical Engineering Mathematics Statistics or a related field - 3 years of experience in Machine Learning data science or software development - Familiarity with ML Engineering concepts and tools including Docker containerization and basic model upkeep - Exposure to CICD practices and familiarity with tools such as GitHub Actions Jenkins or Bitbucket pipelines - Experience with Python and familiarity with ML libraries such as Tensorflow Keras or PyTorch - Experience with cloud computing platforms such as AWS Azure or GCP - Understanding of software engineering principles and exposure to agile methodologies - Valuable communication and collaboration skills with enthusiasm for working in a cross-functional team environment - Proactive and eager to learn with strong analytical and problem-solving skills Desirable Skills Experience - Experience in the pharmaceutical industry or related fields - Master s degree in a related field or ongoing education towards an advanced degree - Strong knowledge of AI techniques and tools including NLP optimization and deep learning When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing medicines In-person working gives us the platform we need to connect work at pace and challenge perceptions That s why we work on average a minimum of three days per week from the office But that doesn t mean we re not flexible We balance the expectation of being in the office while respecting individual flexibility Join us in our unique and ambitious world At AstraZeneca you ll find a vibrant environment where innovation thrives Our entrepreneurial spirit combined with global resources allows us to make significant strides in healthcare We are committed to supporting your career growth while making a difference in patients lives With a rapidly expanding portfolio and a culture that encourages exploration and learning you ll be empowered to define your career path while contributing to groundbreaking advancements Ready to take on this exciting challenge Apply now and become part of our dynamic team Date Posted 03-Oct-2025 Closing Date 16-Oct-2025 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness The Company will not make decisions about employment training compensation promotion and other terms and conditions of employment based on race color religion creed or lack thereof sex sexual orientation age ancestry national origin ethnicity citizenship status marital status pregnancy including childbirth breastfeeding or related medical conditions parental status including adoption or surrogacy military status protected veteran status disability medical condition gender identity or expression genetic information mental illness or other characteristics protected by law Alexion provides reasonable accommodations to meet the needs of candidates and employees To begin an interactive dialogue with Alexion regarding an accommodation please contact Alexion participates in E-Verify

📌 Manager, Rdu It – Data Science (Bengaluru)
🏢 Alexion Pharmaceuticals
📍 Bengaluru