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Senior Python Developer

India, Chennai · Job Posted February 20, 2026
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Job Description

We are seeking a highly skilled AI/ML Data Scientist with 8 years of experience to design and implement cutting-edge AI solutions. The ideal candidate will have strong expertise in developing LLM-based chatbots, Retrieval-Augmented Generation (RAG), text-to-SQL applications, and document processing workflows. Familiarity with state-of-the-art models such as GPT-4, Gemini, and open-source LLMs is essential.

Job Responsibility

  • Design, fine-tune, and deploy LLMs (e.g., GPT-4, Gemini, and open-source models) for chatbot and NLP applications
  • Implement Retrieval-Augmented Generation (RAG) for efficient information retrieval from large datasets
  • Build text-to-SQL pipelines to enable natural language queries for structured databases
  • Process structured and unstructured data for applications such as classification, extraction, and summarization
  • Automate document workflows, including ingestion, classification, and data extraction, using advanced AI techniques
  • Write scalable and efficient Python code for data pipelines, ML models, and integration with production systems
  • Deploy and monitor AI/ML models using MLOps best practices
  • Optimize and refine deployed models based on feedback and performance metrics
  • Work closely with cross-functional teams, including data engineers and developers, to deliver business-aligned AI solutions

Requirements

  • Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • 8 years of hands-on experience in AI/ML, NLP, RAG, chatbot development, and LLM applications
  • Expertise in working with LLMs and write Prompts to build LLM based applications (e.g., GPT-4, Gemini, Mixtral etc)
  • Hands-on experience with Retrieval-Augmented Generation (RAG) and vector databases
  • Advanced skills in NLP techniques, text-to-SQL solutions, and document processing workflows
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Openshift, Kubernetes)
  • Knowledge of MLOps frameworks for model deployment and lifecycle management
  • Bachelor’s or Master’s in Computer Science, Data Science, AI, or a related field

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