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AI Engineer_ LLMOps Job Opening In Gurugram – Now Hiring Confidential


Job description

Required Qualifications:

  • 3 - 5 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
  • Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
  • Should have worked on proprietary and open-source large language models
  • Experience on LLM fine tuning, creating distilled model from hosted LLMs
  • Building data pipelines for model training
  • Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability
  • Experience in GenAI application deployment on cloud and on-premises at scale for production
  • Experience in creating CI/CD pipelines
  • Working knowledge on Kubernetes
  • Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
  • Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
  • Experience in light weight UI development using streamlit or chainlit (optional)
  • Desired experience on open-source tools for ML development, deployment, observability, and integration
  • Background on DevOps and MLOps will be a plus
  • Experience working on collaborative code versioning tools like GitHub/GitLab
  • Team player with good communication and presentation skills

Skills Required
Github, Gcp, Azure, Devops, Kubernetes, Aws

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Engineer_ Potential: Insight & Career Growth Guide


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Are You Looking for AI Engineer_ LLMOps Job?

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.

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