ML Ops Engineer

Poland

Posted 7 days ago

Work Type

Contract

Salary/Rate

zł 100-145 per hour

Remote Work

Yes

IR35 Status

Not Applicable

Position: ML Ops Engineer
Location: Remote
Salary: up to 145 PLN/h net
Start: 15.07.2024
Contract: B2B contract

We have an exciting career opportunity with one of our esteemed clients, a leader in the Fast-Moving Consumer Goods (FMCG) sector. We are currently seeking a talented and driven ML Ops Engineer to join their dynamic team.
Check out the position below and if you are interested in this opportunity, please apply by sending us your CV in Microsoft Word/PDF format.

Role's description:

  • Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
  • Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
  • Write well-designed, testable, efficient code
  • Work closely with engineering to continuously improve the way we consume data and deploy models in production
  • Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
  • Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughout, to infrastructure and deployment strategies

Requirements:

  • 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
  • Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
  • Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
  • Proven experience with software development best practices including testing, continuous integration, and DevOps tools
  • Good understanding of data science lifecycle and the way data scientists work to deliver value
  • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
  • Attention to clarity of code, ease of development, and correctness of implementations
  • Business-ready command of English, written and spoken

Nice to have:

  • Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit
  • Experience in Azure cloud resource setup for purposes of data solutions
  • Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
  • Practice in coaching / mentoring younger team members in your expertise areas

Our offer:

  • B2B contract
  • Long-term cooperation
Aplikuj

REFER A Friend
FOR £250!

REFER SOMEONE YOU FEEL IS RIGHT FOR THE ROLE AND YOU COULD RECEIVE £250. IF YOU WOULD LIKE TO FIND OUT MORE CONTACT US TODAY.
GET IN TOUCH