Job Description

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks 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 , 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
  • Design, develop, and maintain full-stack features for our AI/ML platform
  • Build intuitive and responsive UI components using
  • 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
    • 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

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