Junior Software Engineer

The MLOps team is a part of the Machine Learning Research lab and provides tools for optimizing, scaling, and deploying advanced machine learning models. We blend artificial intelligence, software engineering, and DevOps expertise to embrace the full potential of research engineers and data scientists from other teams. We orchestrate the entire machine learning lifecycle, from data preprocessing and annotation to model deployment, using the cutting-edge infrastructure of Google Cloud and Kubernetes. We're operating at a massive scale with several terabytes of data processed daily and thousands of predictions per second.

As a Junior Machine Learning Engineer (Junior Software Engineer - Machine Learning) you will support Research Engineers in building Machine Learning models and then deploy them on production, ensuring high availability and performance. Your work will be related to:

• MLOps ecosystem development for ML models training and deployment automation
• Gen AI enablement platform development
• Model training pipelines development
• Production-running models management, monitoring and tweaking
• Internal feature-store development
• Supporting product teams in ML-based micro...