AI Engineer

Are you ready to make a positive impact in the world of AI? As an AI Engineer at AstraZeneca, you'll be at the forefront of developing and deploying AI products that drive business and scientific insights. You'll work with advanced data science techniques to build models using both foundational and cutting-edge methods. Your role will involve processing structured and unstructured data, collaborating with internal stakeholders, and solving complex problems in drug development, manufacturing, and supply chain. This is a full-time position where your individual contributions will be key to success.

Accountabilities:
- Drive the implementation of advanced modelling algorithms such as classification, regression, clustering, NLP, image analysis, graph theory, and generative AI to generate actionable business insights.
- Mentor AI scientists, plan and supervise technical work, and collaborate with stakeholders.
- Work within an agile framework and in cross-functional teams to align AI solutions with business goals.
- Engage internal stakeholders and external partners for the successful delivery of AI solutions.
- Continuously monitor and optimize AI models to improve accuracy and efficiency, ensuring they are scalable, reliable, and well-maintained.
- Document processes, models, and key learnings while contributing to building internal AI capabilities.
- Ensure AI models adhere to ethical standards, privacy regulations, and fairness guidelines.

Essential Skills/Experience:
- Bachelor's in operations research, mathematics, computer science, or related quantitative field.
- Advanced expertise in Python and familiarity with database systems (e.g., SQL, NoSQL, Graph).
- Proven proficiency in at least 3 of the following domains:
  - Generative AI: advanced expertise working with LLMs/transformer models, AWS Bedrock, SageMaker, LangChain
  - Computer Vision: image classification and object detection
  - MLOps: putting models into production in the AWS ecosystem
  - Optimization: production scheduling, planning
  - Traditional ML: time series analysis, unsupervised anomaly detection, analysis of high dimensional data
- Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch
- Experience productionizing ML/Gen AI services and working with complex datasets.
- Strong understanding of software development, algorithms, optimization, and scaling.
- Excellent communication and business analysis skills.

Desirable Skills/Experience:
- Master’s or PhD in a relevant quantitative field.
- Cloud engineering experience (AWS cloud services)
- Snowflake
- Software development experience (e.g., React JS, Node JS)

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 be part of a supportive network where diverse teams collaborate to achieve remarkable outcomes. Our commitment to delivering accelerated growth drives us to innovate continuously. With a focus on Lean processes and sustainable practices, we aim to make medicines more accessible and affordable. Here, you'll find opportunities to expand your skills and knowledge while contributing to meaningful change. Our global presence offers a chance to engage with varied challenges and realize new opportunities.

Ready to take on this exciting challenge? Apply now and be part of our journey to transform lives through innovative AI solutions!

Date Posted

Closing Date

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.