Overview

TechConnect Global is currently looking for a MLOps Engineer for a world leading e-commerce client of ours based in Berlin.

Mission:

The MLOps Engineer is responsible for the whole ML lifecycle management. He/she selects and builds infrastructure components to enable Data Engineers, Developers and Product to iterate faster on Model training, learning and deployment to production.

The MLOps Engineer needs to streamline and automate processes that are required to develop, build and operate ML workloads at scale. He/she is aware of additional complexities that MLOps brings compared to DevOps.

Your responsibilities:

  • Setup a company wide ML lifecycle.
  • Enable us to do fast iterations on ML models.
  • Compare different MLOps tools and choose the best ones for each problem
  • Introduce these MLOps tools and train engineers on them
  • Ensure high quality of generated models
  • Ensure high quality on data sets used for model generation and training
  • Introduce metrics and alarms for drifting models in production
  • Act as a mentor for ML lifecycle for different teams

Your Skills:

  • 2 years of ML Model creation and training
  • Excellent knowledge of ML automation tools like MLFlow, Kubeflow, Airflow
  • Good python knowledge and one deep learning framework (pytorch, tensorflow, etc)
  • High autonomity and responsibility
  • Experience with ML experiment tracking solutions
  • Problem solving skills
  • Working experience on different labelling solutions like TagTog
  • Strong personal interaction and communication skills
  • Good understanding of devops tools for e.g. configuration management, monitoring, logging, build pipleines and cloud providers (GCP, AWS)
  • Strong team worker