machine learning operations engineer, wrocław

wrocław, dolnośląskie
job type
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job details

wrocław, dolnośląskie
experience level
powyżej 24 miesięcy

job type
job category
Information Technology
contract type
umowa o pracę
working time
pełen etat
work system


aleksandra magońska+48 695 101 553
reference number
/165/12/2020/PK - 67046

job description

Our Client is transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science and experience design.

They characterize as one of the best and oldest Data Science teams in Ukraine.

A Client is a Data Science Center of Excellence and you will have a chance to contribute to the wide range of projects from different areas and technologies. A company is looking for you, a person who is inspired by data, analytics, and AI as they do, and who wants to grow with them.

what we offer

  • technical development support (the client has a dedicated career path for all positions in this company)
  • flexible working hours
  • no dress code
  • modern office
  • benefits package
  • language courses
  • there is a possibility to obtain the author's income costs

your tasks

  • communicate with stakeholders to identify use cases, gather requirements and set up expectations
  • guide engineering and Data Science teams on ML systems production lifecycle
  • educate product teams on best practices for putting ML systems in production
  • collaborate with Data Science teams on model operationalization strategies
  • work closely with Product teams to deliver and operate ML systems
  • design and implement end-to-end production pipelines for ML solutions
  • support and continuously enhance ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, system monitoring, etc.
  • design and implement automated deployment and integration of ML models
  • setup scalable monitoring systems for data pipelines and ML models
  • maintain ML pipelines in production

what we expect

  • MLOps Engineer with MS degree in computer science or related field and 4+ years of relevant experience 
  • familiar with the Data Science systems and workflow, esp. with all aspects around model operationalization
  • proficient in distributed systems principles
  • experienced in GCP, AWS or Azure beyond basic provisioning, especially data pipeline components, CI/CD, k8s and ML-relevant managed services
  • experienced with container technology and orchestration platforms using Kubernetes
  • experienced with building CI/CD pipelines using Gitlab, Jenkins, Azure DevOps, Google Cloud Build or similar
  • skilled in Python, SQL and Shell scripting
  • experienced in Networking, TCP/IP and Linux administration
  • demonstrating Upper-Intermediate English level or higher (oral/written)

Agencja zatrudnienia – nr wpisu 47