Recruiter

Spyridoula Zineli

itech
itech

Recruiter

Spyridoula Zineli

ADD

Machine Learning Engineer (remote)

ΚΩΔΙΚΟΣ: job000016977

Ημερομηνία Δημοσίευσης2 years ago
Περιοχή
Athens
Μισθός
Not available
Τύπος Εργασίας
Permanent
Κλάδος
Περιοχή
Athens
Μισθός
Not available
Τύπος Εργασίας
Permanent
Κλάδος

Περιγραφή Θέσης

On behalf of our client, a start-up company providing a digital commerce platform for huge clients abroad, we are currently looking for a self-driven Machine Learning Engineer, to set up the Machine Learning engineering department.

A day in the life of a Machine Learning Engineer

You will be responsible for building out our machine learning and AI capabilities. You will gather and re-focus the company’s existing efforts in this area, build out key machine learning models and infrastructure and identify the most promising future opportunities. In collaboration with the data engineering team you will integrate new Machine Learning models into the production data pipelines. You can put your scientific mindset into thinking out of the box and finding new solutions!

Your day-to-day

  • Implement new automated data tagging, combining several ML approaches
  • Plan and implement machine learning infrastructure
  • Conduct research in new Machine Learning techniques and identify future opportunities for the company
  • Combine several Machine Learning approaches
  • Work closely with Data Engineering team and business team

What you will need

  • 2+ years’ experience in a Machine Learning role
  • Strong experience in Python programming language
  • Experience in Azure or/and Amazon Web Services

Great to have

  • Ability to work with cross-functional teams
  • Experience in working with agile methodologies

We love your personality if you

  • are able to make decisions
  • act like an owner
  • have great communication skills
  • enjoy being a team player

What’s in it for you

A very competitive package including benefits, depending on level of experience. You will have the opportunity to work in a motivating and multicultural environment as well as on a global scale project.