AI Platform Engineer with DevOps Experience
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Description
What Will You Do?
- Develop value-add services that integrate with the existing DevOps stack.
- GitHub Actions
- TypeScript
- Python
- Jenkins
- Coach application teams on leveraging DevOps offerings.
- Champion developer experience and DevOps best practices.
- Participate in new tool adoption, POCs, and provide recommendations.
- Evolve DevOps services for application teams.
- Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.
- Develop scalable LLMOps and MLOps frameworks for:
- Model deployment
- Monitoring
- Versioning
- Evaluation
- Governance
- Build reusable AI services.
Must-Have Skills
- Strong engineering capabilities across the SDLC and production-class delivery.
- Strong analytical, communication, ownership, and problem-solving skills.
- Development experience in one or more of:
- Java
- Python
- JavaScript / TypeScript
- C#
- C / C++
- Experience with application and system design patterns.
- Experience with Docker or Kubernetes.
- Experience with Agile methodologies, including Scrum.
- Strong experience with CI/CD and DevOps practices.
- Experience with GitHub Actions and Jenkins.
- Knowledge of AI/GenAI platforms, LLMOps, and MLOps.
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