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Are you ready to dive into the world of Generative AI and make a real impact As a Generative AI Engineer youll be part of the Alexion IT RDU organization working closely with the IT Director of Insights and Analytics. Your mission To develop and implement cutting-edge Machine Learning solutions focusing on Generative AI that tackle our business challenges head-on. Youll be instrumental in scaling and deploying production-ready AI models all while collaborating with senior team members to drive innovation.
Accountabilities:
Assist in developing and refining Generative AI systems and applications using state-of-the-art models to solve complex business problems.
Aid in 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.
Implement 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.
Monitor operational health of Generative AI applications in production identifying areas for improvement or optimization.
Develop assets frameworks and reusable components for Generative AI Machine Learning and MLOps practices.
Engage with stakeholders to gather feedback and iteratively improve Generative AI applications features and capabilities.
Support 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
2 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
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. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were 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 youll find a culture driven by patient needs where diversity is celebrated and inclusion is championed. Here your ideas can profoundly impact lives as you work alongside passionate colleagues who are committed to making a difference. With tailored development programs and a supportive community of leaders and peers youll be empowered to grow both personally and professionally while contributing to life-changing advancements.
Ready to make an impact Apply now to join our team!
Date Posted
04-jun-2025Closing Date
10-jun-2025Alexion 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 lackthereof sex sexualorientation age ancestry national origin ethnicity citizenship status marital statuspregnancy (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 aninteractive dialogue with Alexion regarding an accommodation please contact . Alexion participates in E-Verify.
Full-Time