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• 1. Maintain Google Cloud Infrastructure resources & programs according to a set of coding standards
• 2. Participate in technical analysis design & estimate duration of programming and unit testing phase
• 3. Be part of a CI/CD environment
• 4. Work daily with Vertex AI
• 5. Work with: Python, Terraform, Airflow, Kubernetes, Data Proc, Azure Dev Ops
• 6. Keep the technical documentation up to date with new/changed technical design details during implementation & provide technical insight, actively participate in feature analysis
• 7. You take responsibility of your code - from IDE to local development environment to production
• 8. Perform unit testing and register tests results after implementation to assure that every component of the application that was added or changed is working properly
• 9. Provide technical support existing applications
• 10. Being involved in a data science project from the beginning to the end and ownership of the project E2E
• 11. A modern & agile environment
• 12. Provide workshops & trainings
• 13. Set standards in MLE world and drive best practices

• Experience:

• You have a minimum of +5 years of experience in ML Area
• In Banking industry is considered a plus

• Tech stack/ knowledge:

• Mandatory:

• Solid understanding of Python
• Solid understanding of OOP concept
• Experience working with infrastructure as a code
• Experience with Google Cloud’s Vertex AI platform, including Auto ML, custom training, and model deployment
• Basic understanding of ML frameworks (Pandas, Numpy Sci Kit-Learn)
• Experience with Python, Spark, Terraform, Data Proc, Azure Dev Ops, Linux, Jupyter Notebooks, Big Query, Google Cloud Storage
• Experience working within Continuous Delivery or Continuous Deployment processes
• Understanding of the benefits of unit/integration testing discipline
• The strong foundational knowledge and ability to adapt to new technologies and paradigms that are often found in development experts are considered more important than most missing nice to haves in this list

• Nice to have:

• Nifi and Kafka knowledge

• Soft skills

• Superb analytical and problem-solving abilities
• Good communication skills, awareness towards emotional intelligence factors

• Foreign languages: English (advanced)
• Education: nice to have bachelor’s degree (or higher) in an IT related field