Senior Member of Technical Staff -OCI Data Science

5 - 7 years

20 - 25 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc. Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.The OCI Data Science team is on a mission to empower developers and data scientists to build, deploy, and scale cutting-edge AI/ML solutions, with a special focus on large language models (LLMs). We re building a next-generation AI/ML platform that enables rapid experimentation and scalable deployment of models on OCI. Join us and help shape the future of AI infrastructure.

Preferred Qualifications:


  • 5 7 years of experience as a full stack software engineer
  • Proficiency in React.js, Java, and Python
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes
  • Understanding of microservices architecture and cloud-native development
  • Familiarity with AI/ML workflows or experience working with ML infrastructure is a plus
  • Experience building scalable systems and APIs for data-driven applications
  • Strong problem-solving skills and a collaborative mindset

Nice to Have:


  • Experience with OCI or other cloud platforms (AWS, Azure, GCP)
  • Exposure to LLMs or generative AI tools and platforms
  • Knowledge of DevOps practices and CI/CD pipelines
Responsibilities
  • Design, develop, and maintain full-stack features for our AI/ML platform
  • Build intuitive and responsive UI components using React.js
  • Develop scalable backend services and APIs using Java and Python
  • Containerize applications and ensure smooth deployment using Docker/Kubernetes
  • Collaborate with ML engineers, product managers, and UX designers to deliver high-quality solutions
  • Contribute to system design discussions, code reviews, and technical planning
  • Write clean, maintainable, and testable code with a focus on performance and scalability

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