KEY RESPONSIBILITIES:
- Play a critical role in deploying and scaling out the Machine Learning solutions using standardised Continuous Integration, Continuous Delivery and Continuous Training pipelines in Google Cloud Platform (GCP) as well as On-Prem environments to fulfi Deutsche Bank’s innovation strategy
- Build solutions / frameworks to move data from On-Prem data sources to Google Cloud Platform
- Contribute towards designing and building the MLOps framework through strong development practices and define processes towards a scalable and robust data / model pipeline
- Work collaboratively with product managers, other engineers and end-users to deliver working solutions in an Agile and Iterative manner
- Contribute to effective and efficient technical research and experiments
REQUIREMENTS:
- Significant experience working in a professional environment and solid understanding of Continuous Integration / Continuous Delivery – TeamCity, Jenkins, GitHub Actions etc
- Working experience of Infrastructure as Code (Terraform Enterprise)
- Experience of Containerisation, Virtualisation – OpenShift, VMWare etc
- Knowledge of Big Data concepts like distributed files systems (HDFS), data access layers, distributed computing etc
- Experience of working in the public cloud, such as GCP, Azure, or AWS (Amazon Web Services)