4 - 9 years

8 - 18 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

  • Expert in building and scaling data pipelines for ML/GenAI using Spark, Airflow, PostgreSQL, and cloud-native practices.
  • Must have experience to handle end-to-end GenAI projects: NLP model usage, embeddings, pipelines
  • Hands on experience with LLMs with Spark/Airflow ETL
  • Hands-on experience with tool stack: GitHub, Docker, FastAPI, Redis, Ray Serve, Kubernetes and GitHub Actions.
  • Should have experience in tokenization and embedding generation work using Hugging Face.
  • Should be able to generate prompts for the GPT and Should be able to fine-tune GPT for a classification task.
  • Should have experience in building a RAG pipeline using LangChain + FAISS
  • Should be able to integrate FastAPI with OpenAI function-calling
  • Should have knowledge of Slackbot agent and its modules, Tool-Calling Agent, Multi-Agent System, License Optimizer Bot etc.
  • Should be able to design a resilient Spark pipeline to process SFDC PostgreSQL data for NLP.
  • Candidate must have a deep understanding of Postgres and DB design practices.
  • Candidate must have experience with CI/CD pipeline to deploy and monitor an LLM service. 
  • Candidate should take initiative and ownership of cross-functional projects and run projects with limited supervision
  • Candidate should be innovative, able to scale ideas, and should have vision in the latest in GenAI/ML/Data Engineering.

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