Head of Machine Learning Engineering for our fast-growing Insights & Data team

At Capgemini, we deliver end-to-end solutions within all areas of IT and advanced analytics to help solve major challenges for our clients in the private and public sector. The Insights & Data practice is focused on creating cutting-edge machine learning and AI solutions that run on top of reliable, scalable, and high-performing Big Data platforms with a strong focus on data governance.

Job Summary:
With the ambition of our rapidly growing team, we are looking for Head of Machine Learning Engineering

As a member of our Insights & Data practice, you will be part of a global network of experts and work to design and deliver cloud solutions to our clients.

  • Interact with Machine Learning Engineers, Data Scientists and Data Engineers to design and architect a reusable MLOps framework, develop platform capabilities and automation to support model lifecycle on cloud (Azure, AWS etc), implement platform integrations with AI/ML advanced capabilities like feature store, MLOps and platform support and enhancements.
  • Design technical architecture direction and strategy for solutions
  • Participate in deep architectural discussions to build confidence and ensure customer success when building new Datawarehouse, and services on big data platforms
  • Demonstrate leadership and passion for technology to our clients

About you:

  • Degree in Computer Science, Engineering, Business Administration, or another relevant field
  • Ability to travel and work in the Nordic countries
  • Fluent in English (written, spoken)
  • Previous consulting experience a plus

Interested?
If you have questions or want to know more about the position, please contact Country Lead for Insights & Data Samay Mir at samay.mir@capgemini.com

If this job sounds appealing to you, please submit your resume as soon as possible, by clicking “Apply here”.

We look forward to hearing from you.

Ref:

89560

Posted on:

July 8, 2021

Experience level:

Experienced

Contract type:

Full-time