Credit Suisse | Jobs | Artificial Intelligence and Machine Learning Support | BigDataKB.com | 12-02-22

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Job Location: Pune

Your field of responsibility

Self-driven Strong LINUX and Docker skills to setup and support Big-Data and AI/ML Application Infrastructure Platforms. Work with application teams to deploy AI/ML models/applications. Provide vision and strategy to enhance AI/ML and Big-Data Platform.

Your future colleagues

As a member of our global-team, you will be collaborating with peers and colleagues around the world to support AI/ML Application Infrastructure Platform with data spanning Credit Suisseโ€™s global organization to solve emerging challenges using new technologies.

We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firmโ€™s D&I ambition which is an integral part of our global cultural values.


Your skills and experience

We are seeking hardworking, experienced Engineer on LINUX, Docker, Big-Data skills to setup and support AI/ML & Big-Data Infrastructure Platforms. Engineer to join a growing, high-visibility cross-Bank team that is developing and deploying solutions to some of Credit Suisseโ€™s most important analytical problems.

  • 5+ years of experience in enterprise IT at a global organization with recent 3+ years in Linux, Big-Data support (Cloudera distribution) and Docker & Kubernetes
  • Experience in Python Scripting, Linux Shell scripting, Ansible, GIT, knowhow of Java
  • Experience in setting up user accounts/groups and permissions on Linux servers
  • Install, Configure Linux operating systemsโ€™ components
  • Experience with basic network concepts and TLS/SSL protocols.
  • Experience with container-based deployments using Docker, working with Docker Images, Docker registry and Kubernetes
  • Experience in building and maintaining Docker containers managed by Kubernetes cluster
  • Experience in deploying a Kubernetes cluster and ansible playbooks on AWS/Local datacenter
  • Experience in setting up Monitoring and Alerting for Hadoop (Cloudera) & Kubernetes clusters
  • Experience in troubleshooting and debug run time issues on Kubernetes & Cloudera cluster (YARN, Ranger, Spark, Livy etc)
  • Experience in Hadoop cluster performance fine tuning, scaling, capacity-planning and security setup for multi-tenant environments
  • You bring experience in Service Management i.e. Release management & Incident management
  • Experience with security concepts around authentication and authorization using Kerberos, SSL etc.
  • Outstanding problem solving skills with production support experience and an ability to cooperate within a multidisciplinary, global-team
  • Self-starter with a strong curiosity for extracting knowledge from data and the ability to elicit technical requirements from a non-technical audience
  • Dedication to fostering an inclusive culture and value diverse perspectives

Your new employer

Find a new home for your skills, ideas, and ambitions. Credit Suisse offers you the ideal environment to progress your career, attractive benefits and excellent training.

We are a leading wealth manager with strong global investment banking capabilities founded in 1856. Headquartered in Zurich, Switzerland, and with more than 45,000 employees from over 150 nations, we are always looking for motivated individuals to help us shape the future for our clients.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. We are committed to building a culture of inclusion with a deep sense of belonging for all of us. We will consider flexible working opportunities where possible. Our bank provides reasonable accommodations to qualified individuals with disabilities, as well as those with other needs or beliefs as may be protected under applicable local law. If you require assistance during the recruitment process, please let your recruiter know.

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