As a recruitment company, DCG understands that every business is powered by experienced professionals. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:



MLOps Engineer



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 Dev Ops, code, experiment and model management, CI/CD and further industry best practices

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

2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models

~ Business-ready command of English, written and spoken

~ Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform

~ Proven experience with software development best practices including testing, continuous integration, and Dev Ops tools

~ Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines

~ Private medical care