Role and Responsibilities

• Design and develop Generative AI platforms based on microservices and event-driven architectures. 
• Write clean, efficient, and maintainable code in Python, with additional experience in Go and/or TypeScript being a plus. 
• Implement the fundamental building blocks along with working examples to deliver the platform-level capabilities as planned. 
• Build, deploy and manage Cloud-native Machine Learning applications using Docker, Kubernetes, and Terraform. 
• Collaborate with Data Scientists to integrate Machine Learning models and the run-time dependencies into the platform. 
• Work with Domain Application team to help on-boarding, troubleshooting, customization and enhancements. 
• Conduct testing activities to meet various security, compliance and technical standards in the bank.

Required Qualifications

• Highly proficient in at least one of the programming languages, preferably in Python, Go, TypeScript or Scala/Java.
• Expertise in Machine Learning application development or platform engineering. -
• Experience in Containerization and IAC (Infra as Code) technologies with at least one of the major Cloud providers.
• Good understanding of data science and machine learning principles.
• Deep understanding on LLM (Large Language Models) and RAG (Retrieval-Augmented Generation) concepts.
• Good understanding of security protocols, including TLS, SSH.
• Familiarity with distributed data systems such as Kafka, Spark, ELK. 
• Workable experience with the CI/CD, DevOps and SRE tool chains

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