DATA ENGINEER – MACHINE LEARNING

arrow

San Jose / $150000 - $175000 annum

INFO

Salary
SALARY:

$150000 - $175000

Location

LOCATION

San Jose

Job Type
JOB TYPE

Permanent

DATA ENGINEER - MACHINE LEARNING

SAN JOSE

$150,000 - $175,000 + BONUS + STOCKS

This is a unique opportunity for a passionate Data Engineer to join a fast-paced department in a global leading business. If you're passionate about data as well as DevOps and interested in creating highly scalable distributed computing systems - this is the role for you.

THE COMPANY

The Data Engineer will work at a global leader in their field who are always looking to improve and strengthen their offering to the market. Known for working across a number of areas within the machine learning space, you will be given exposure to a huge number of technologies with the chance to up-skill yourself! The team is expected to add significantly to its headcount in the next 12 months.

THE ROLE

  • Hands on development role working across Engineering, Machine Learning and DevOps
  • Spending time building highly scalability infrastructure, with a real focus on Container technology
  • Using programming skills to create big data pipelines as well as assisting in the deployment of Data Science models
  • Work in collaboration with other engineers and scientists to build high scale distributed computer systems

YOUR SKILLS & EXPERIENCE

  • Previous work-experience in a cloud based environment (AWS preferred)
  • Proven hands-on commercial experience recently with Python
  • Previous experience working with Kafka
  • Hands on knowledge of working with CI/CD processes, ideally using Jenkins
  • Experience working with containers such as Docker/Kubernetes

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

CONTACT

Calum Reid

Senior Manager

SIMILAR
JOB RESULTS

4k-Harnham_DA copy
CAN’T FIND THE RIGHT OPPORTUNITY?

STILL
LOOKING?

If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.