Manager, RDU IT – Data Science at AstraZeneca

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Software Development, MLOps, Generative AI, Python, Cloud Computing, Agile Methodologies, Communication, Collaboration, Analytical Skills, Problem-Solving, Docker, CICD Practices, NLP, Deep Learning

Industry

Pharmaceutical Manufacturing

Description

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 - Good 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 accommodations@Alexion.com. Alexion participates in E-Verify.

Responsibilities

Lead the development and refinement of Generative AI systems and applications to solve complex business problems. Collaborate with senior engineers to design interactive systems and contribute to the full lifecycle development of Generative AI agents.