IT Generative AI Engineer

Introduction to role:

Are you ready to dive into the world of Generative AI and make a real impact? As a Generative AI Engineer, you'll 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. You'll 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:
• Bachelor's 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
• 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 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, you'll 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!

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.