Introduction to role:
Are you ready to lead the charge in developing cutting-edge Generative AI solutionsAs a Manager, RDU IT Data Science, youll be at the forefront of innovation, reporting directly to the IT Director of Data Science within the Alexion IT RDU organization. Your missionTo 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:
- Bachelors 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 - Masters 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

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Manager, RDU IT Data Science