Consultant – Enterprise AI Platforms Full-time

Job Title – Consultant – Enterprise AI Platforms

Career Level – C3

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Introduction to Role:

Join our Enterprise AI platform team at AstraZeneca as an AI Platform Engineer. You will play a crucial role in supporting our data scientists, analysts, and engineers by ensuring the stability, scalability, and performance of our Dataiku environment. As a strong software developer interested in building complex systems, you will be responsible for inventing how we use technology, machine learning, and data to enable AstraZeneca’s productivity. You will help design, build, deploy, and develop our next generation of data engines and tools at scale.

Accountabilities:

Your key responsibilities will include collaborating closely with data science teams to design, deploy and manage the Kubernetes and AWS-based AI platform for Machine Learning. You will provide the necessary infrastructure and platform to support the deployment and monitoring of ML solutions in production, optimising solutions for performance and scalability. You will also administer and maintain the Dataiku platform, ensuring high availability, scalability, and performance.

Essential Skills/Experience:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience as a Data Engineer, Platform Engineer, or similar role.
• Strong proficiency with Dataiku platform administration, configuration, and optimization.
• Experience designing and implementing data pipelines, workflows, and integrations.
• Proficiency in programming languages such as Python or R.
• Knowledge of database technologies such as SQL, NoSQL, and big data platforms (e.g., Hadoop, Spark).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work effectively in a fast-paced, dynamic environment.
• Certification in Dataiku or AWS or relevant technologies.
• Experience with machine learning and predictive analytics.
• Knowledge of DevOps practices and tools.
• Experience with CI/CD pipelines for deploying and managing Dataiku environments.
• Familiarity with agile development methodologies.

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 dare to lead. We’re a network of entrepreneurial self-starters who contribute to something far bigger. 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. 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.

Are you ready to disrupt an industry and change lives? Apply now!

Date Posted
19-Sept-2024

Closing Date
02-Oct-2024

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.