Senior AI Engineer or Associate Principal AI Engin...

Location - Barcelona (ESP) OR Mississauga (Canada)

Competitive Salary And Benefits

Introduction to role:

We are seeking a Senior AI (Artificial Intelligence) or Associate Principal AI Engineer to join our team and work toward innovative AI research as elegant, enterprise-ready products. As an AI Engineer, you will be responsible for developing efficient and scalable processes, automating our processes through devops, gitops, and mlops automation and both designing and implementing interfaces to our products.

The Center for Artificial Intelligence (CAI) is a lab focused on applying machine learning research to the toughest challenges at AstraZeneca. We are a team of experts from different fields including Machine Intelligence, Data Science, Real World Evidence and Bioinformatics.

Senior AI Engineer

Accountabilities:

• Contribute to software engineering standards within the team and develop documentation and artifacts that make it simple to apply to new or existing projects.
• Develop user friendly and intuitive interfaces to our products.
• Take the initiative in designing and implementing solutions to drive down costs and environmental impact by automating processes through devops, gitops, and mlops automation.
• Educate people about how to use these solutions in their everyday work.
• Work collaboratively with multi-functional teams to deliver projects on time and to the highest standards.
  
  
  

Essential Skills/Experience:

• Demonstrable record of accomplishment of implementing software engineering best practices.
• Demonstrable experience entire machine learning lifecycle.
• Demonstrable experience with front-end design and UX.
• Exposure to Kubernetes and deployment of tools in that context.
• Demonstrable experience collaborating with teams that have different competences.
• A tertiary qualification in a relevant area or demonstrable, equivalent achievements outside academia.
• Work experience in the area.
  
  
  

Desirable Skills/Experience:

• Experience working in a domain subject to regulatory oversight.
• Experience working in a scientific research environment.
• Understanding of the pharmaceutical industry and its processes.
  
  
  

Associate Principal AI Engineer

Key Accountabilities:

• Take ownership of software engineering standards within the team and develop documentation and artifacts that make it simple to apply to new or existing projects.
• Develop efficient and scalable processes for distributed training of large ML models in both cloud and on-prem environments, working with internal infrastructure teams and external vendors and research institutes.
• Drive down costs and environmental impact by automating processes through devops, gitops, and mlops automation, reducing the need for human intervention.
• Work collaboratively with broad and diverse teams to deliver projects on time and to the highest standards.
  
  
  

Essential Requirements

• Demonstrable record of accomplishment of implementing software engineering standard methodologies for multiple use cases.
• Demonstrable experience automating the entire machine learning model lifecycle.
• Demonstrable experience optimizing distributed training of machine learning models.
• Demonstrable advanced use of Kubernetes and implementation of machine learning tools in that context.
• Demonstrable experience collaborating with teams that have different competences.
  
  
  

Desirable Skills and Experience:

• Relevant degrees, qualifications, and certifications.
• Experience working in a domain subject to regulatory oversight.
• Experience working in a scientific research environment.
• Understanding of the pharmaceutical industry and its processes.
  
  
  

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.

Why AstraZeneca?

Play an essential role in helping patients who need it the most. There is no better place to apply your AI expertise in a new and different way. A place to be valued and visible. In our high exposure role we shape end results and embrace global opportunities, working across all of AstraZeneca's Therapy Areas. With a restless need to keep improving, we are always moving forward and searching for something new. Our supportive, yet challenging, approach makes for an inspiring learning environment. Every setback is seen as a chance to improve, every critique pushes us towards the next ground-breaking solution.

Use our network to reach your potential! Join a community of highly qualified and motivated scientists. A place that's both supportive and challenging. There's continuous knowledge and information sharing, and we also constructively critique ourselves and the science. Join in and speak up to succeed.

Are you ready to make a difference? Apply today!

This role is open from 8th February, and we encourage your application no later than 23rd February 2024.

#MachineLearning

#ArtficialIntelligence

#ProteinDesign

#Antibodies

#DeepLearning

#Biologics

#DataAI

#DSAI

#CAI

#NeurIPS