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ENGINEERING MANAGER (ML)

Stockholm
800000kr - 950000kr per annum
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MACHINE LEARNING MANAGER

STOCKHOLM

TECH SOLUTIONS

I'm currently working with a company that is disrupting the industry on an international scale. They are now seeking an experienced, talented, and ambitious Engineering Manager who can hit the ground running from the outset on their massive transformation journey and enjoys managing people.

THE COMPANY

International, humble company with a start-up mentality (but backed by a blue-chip). This Group is enabling the rest of the organization to build better products. It's all about data! And there is A LOT of it.

To ensure they provide a flawless product they hire the very best talent, with their renowned team coming from high-caliber tech businesses and industry leaders.

Use cases will vary from anything from Supply Chain to customer-related projects. You will be managing a smaller team in the beginning, but it will likely be growing, and you will take part of the hiring.

THE ROLE

The role as an Engineering Manager will involve

  • Management and development of staff - staff related activities
  • Hiring & interviewing
  • Best practices for the full AI development cycle
  • Collaborate with other members of the product team on strategy and translating this into scalable solution design
  • Building products in a varied of technologies and with varied focus (large-scale data processing etc)

YOUR QUALIFICATIONS

  • Skilled in Computer Science, Python, Apache Spark, Linux, Algorithms, Cloud and Big data technologies
  • Working experience in developing machine learning products
  • Skilled in translating business requirements & realise technical road-maps
  • Very communicative as a person
  • Passionate about design and development of smart data-driven solutions to improve the efficiency of large scale services and processes

APPLICATION

Please submit your CV via the Apply link

KEYWORDS

Python / ML / Manager / Machine Learning

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VAC-20947/EM
Stockholm
800000kr - 950000kr per annum
  1. Permanent
  2. Deep Learning and AI

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