Job Title: Lead Consultant - AI Engineer
Career Level - E
Are you ready to leverage technology to impact patients and ultimately save lives? We are seeking a Senior AI Engineer to develop and deploy key AI products, generating business and scientific insights through advanced data science techniques. This role involves building models using both foundational and cutting-edge methods, processing structured and unstructured data, and collaborating closely with internal stakeholders to solve complex problems in drug development, manufacturing, and supply chain.
As a Lead Consultant - AI Engineer, you will drive the implementation of advanced modelling algorithms (e.g., classification, regression, clustering, NLP, image analysis, graph theory, generative AI) to generate actionable business insights. You will mentor AI scientists, plan and supervise technical work, collaborate with stakeholders, and work within an agile framework and in cross-functional teams to align AI solutions with business goals. You will engage internal stakeholders and external partners for the successful delivery of AI solutions. You will continuously monitor and optimize AI models to improve accuracy and efficiency (scalable, reliable, and well-maintained). You will document processes, models, and key learnings & contribute to building internal AI capabilities. Lastly, you will ensure AI models adhere to ethical standards, privacy regulations, and fairness guidelines.
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, Computer Vision, MLOps, Optimization, Traditional ML.
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.
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, we are one purpose-led global organisation. The enablers and innovators, ensuring that we can fulfil our mission to push the boundaries of science and discover and develop life-changing medicines. We take pride in working close to the cause, opening the locks to save lives, ultimately making a massive difference to the outside world. Our work has a direct impact on patients. transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.
Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make the impossible possible by building partnerships and ecosystems, creating new ways of working and driving scale and speed to deliver exponential growth. Focused and committed, and backed with the investment to succeed, we're driving cross-company change to disrupt the entire industry.
Ready to make a difference? Apply now and join us in our mission to save lives!
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.