Lead Consultant - AI Platform Engineer

Job Title: Lead Consultant AI Platform Engineer

Career Level E

Introduction to role

We are looking for a Senior AI Platform Engineer to join our new AI platform team in Enterprise AI platform team IGNITE. The ideal candidate will have proven experience working in AWS cloud environments where they devise and deploy largescale production infrastructure and platforms. The position will involve applying these skills to some of the most exciting machinelearning problems in drug discovery.

The successful candidate will be part of a new closeknit team of deeply technical experts and have the chance to create tools that will advance the standard of healthcare improving the lives of millions of patients across the globe. Our data science environments will support major AI initiatives such as clinical trial data analysis knowledge graphs imaging & Omics for our therapy areas. You will also have a responsibility to help provide the frameworks for data scientists to develop scalable machine learning and predictive models with our growing data science community safely and robustly.

As a strong software leader and an expert in building sophisticated systems you will be responsible for inventing how we use technology machine learning and data to enable AstraZenecas productivity. You will help envision build deploy and develop our next generation of data engines and tools at scale. You will bridge the gap between science and engineering and function with deep expertise in both worlds!

You will also have the opportunity to learn many cuttingedge technologies related to Machine Learning Platforms. You will push the boundaries to test develop and implement new ideas technologies and opportunities.

Accountabilities

• Provide the vital infrastructure and platform to support the deployment and monitoring of ML solutions in production Optimizing solutions for performance and scalability.

• Collaborate closely with data science teams in developing cutting edge data science AI/ML environments and workflows on AWS.

• Liaise with R&D data scientists to understand their challenges and work with them to help productionise ML pipelines models and algorithms for innovative science.

• Take responsibility for all aspects of software engineering from design to implementation QA and maintenance.

• Lead technology processes from concept development to completion of project deliverables.

• Liaise with other teams to enhance our technological stack to enable the adoption of the latest advances in Data Processing and AI.

• Team recruitment training provision and coaching.

Essential Skills/Experience

• Significant experience with AWS cloud environments is essential. Knowledge of SageMaker Athena S3 EC2 RDS Glue Lambda Step functions EKS and ECS is also essential. Certification in appropriate areas will be viewed favourably.

• Modern DevOps mindset using bestofbreed DevOps toolchains such as Docker and Git.

• Experience with infrastructure as code technology such as Ansible Terraform and Cloud Formation.

• Strong software coding skills with proficiency in Python however exceptional ability in any language will be recognized.

• Experience managing an enterprise platform and service handling new customer demand and feature requests.

• Experience with containers and microservice architectures e.g. Kubernetes Docker and serverless approaches.

• Experience with Continuous Integration and building continuous delivery pipelines such as CodePipeline CodeBuild and Code Deploy.

• GxP experience.

• Excellent communication analytical and problemsolving skills.

Desirable Skills/Experience

• Experience building large scale data processing pipelines. e.g. Hadoop/Spark and SQL.

• Use of Data Science modelling tools e.g. R Python and Data Science notebooks (e.g. Jupyter).

• Multi cloud experience (AWS/Azure/GCP).

• Demonstrable knowledge of building MLOPs environments to a production standard.

• Experience on mentoring coaching and supporting less experienced colleagues and clients.

• Experience with SAFe agile principles and practices.

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire lifechanging medicines. Inperson 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.

Join a team with the backing and investment to win! Youll be working with cuttingedge technology. This marriage between our purposeful work and the use of hightech platforms is what sets us apart. Lead the way in digital healthcare. From exploring data and AI to working in the cloud on new technologies. Join a team at the forefront. Help shape and define the technologies of the future with the backing you need from across the business.

Ready to make a difference Apply now!

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 industryleading 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 nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.