Associate Director of Engineering - Barcelona, España - AstraZeneca

AstraZeneca
AstraZeneca
Empresa verificada
Barcelona, España

hace 1 mes

Isabel García

Publicado por:

Isabel García

beBee Recruiter


Descripción

Associate Director of Engineering**
Barcelona (ESP), Gothenburg (SWE), Cam
bridge (UK), Gaithersburg (
US), Toronto (
CAN)

Competitive Salary + Benefits

Make a more meaningful impact to patients' lives around the globe
Here you'll have the opportunity to make a meaningful difference to patients' lives.

With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines - for the world's most complex diseases.

Answer unmet medical needs by pioneering the next wave of science, focusing on outcomes and shaping the patient ecosystem. With our ground-breaking pipeline, the outlook is bright. Be proud to be part of a place that has achieved so much, yet is still moving forward. There's no better time to join our global, growing enterprise as we lead the way for healthcare and society

If you would like to have an impact on transforming patients' lives by accelerating new medicines to patients, this may be the position for you


This Opportunity
The team makes use of advanced ML techniques including deep learning and knowledge graphs. This position will be pivotal in optimizing how these techniques are used, optimizing for rigor, reproducibility, speed and sustainability. Applicants should have a strong foundation in software and devops/mlops engineering in production ML systems.


Typical Accountabilities

  • Collaborate with the team in setting a set of engineering standards, best practices, templates, documentation and learning material to socialize best engineering practice in the team.
  • Optimize computational processes in terms of utilization, distribution and data transfer speeds to lower total costs and environmental impacts.
  • Develop and maintain CI systems which increase overall speed of contribution to and quality of the team's code base.
  • Automate processes within the team to reduce the time spent on nondifferentiating tasks.
  • Engage with IT teams to ensure any additional system requirements are accurately defined.
  • Collaborate with ML Engineers and scientists in other business units to suggest engineering solutions to scientific opportunities
  • Review working practices and ensures noncompliant processes are raised

Education, Qualifications, Skills and Experience

Essential

  • Bachelor's degree in rigorous quantitative science (such as mathematics, computer science, engineering)
  • Demonstrated an outstanding trackrecord of industry experience (4+ years) using machine learning systems
  • At least 2 years of experience in a devops/mlops team in the pharmaceutical industry
  • Software engineering experience in python or other relevant language, including CI/CD and gitops
  • Hands on experience using AWS infrastructure
  • Hands on experience using opensource products for machine learning on kubernetes, in particular kubeflow
  • Experience in advanced containerization techniques
  • Endtoend experience implementing machine learning projects in an industry setting
  • Knowledge of model operations including model tracking, model governance, multiple models in different production contexts
  • Knowledge of range of machine learning techniques and drive to continue to learn and develop these skills.
  • Communication, business analysis, and consultancy; ability to present compelling cases to partners and operate dynamically to identify solutions

Desirable

  • Ph.
D. or M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering) or M.B.A. with analytics experience in industry.

  • AWS or Kubernetes certifications

Why AstraZeneca?
At AstraZeneca we're dedicated to being an excellent Place to Work. Where you are empowered to push the boundaries of science and unleash your ambitious spirit. There's no better place to make a difference to medicine, patients and society.

An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We're on an exciting journey to pioneer the future of healthcare.


Why we love it

So, what's next?

  • Are you already imagining yourself joining our team? Good, because we can't wait to hear from you.
  • Are you ready to bring new ideas and fresh thinking to the table? Brilliant We have one seat available and we hope it's yours.

Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn


#DataAI
**#DSAI

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