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Data Scientist

10-15 Years
  • Posted an hour ago
  • Be among the first 10 applicants

Job Description

Job Requirements

Role Summary:

  • We need a skilled Senior AI Engineer to build and scale enterprise-grade Generative AI solutions.
  • You will design retrieval-augmented generation (RAG) pipelines, fine-tune large language models, and build robust data architectures, bridging the gap between heavy data engineering and advanced AI model deployment.

Key Responsibilities

  • Design and deploy end-to-end GenAI and LLM-based applications into production.
  • Build scalable RAG architectures using vector databases and semantic search.
  • Optimize data pipelines to ingest, clean, and process multi-source data for AI models.
  • Fine-tune, evaluate, and prompt-engineer open-source and proprietary LLMs.
  • Integrate AI services with cloud infrastructure and existing enterprise applications.
  • Monitor model performance, latency, cost, and safety guardrails.

Required Skills

  • Minimum 8 to 10 years of experience in IT Industry with 3 to 5 years in AI, LLM implementation, and Data Engineering
  • Generative AI & LLMs: RAG frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Milvus, Qdrant), prompt engineering, and LLM fine-tuning.
  • Data Engineering: Python, SQL, ETL pipelines, Apache Spark, Kafka, and data warehousing.
  • Cloud & MLOps: AWS, GCP, or Azure; Docker, Kubernetes, and MLflow/Kubeflow.
  • Software Engineering: Clean code practices, REST APIs, and microservices architecture.

Work Experience

10-15Years

More Info

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About Company

Job ID: 153760693

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