Data Scientist – Text Analytics & GenAI (PAN India, remote option)

Job Title:

Experience:

Work Location:

Anywhere in India (remote or hybrid work options)

Engagement:

About The Role

IMMEDIATE JOINEES/candidates seving notice period highly preferred

Lead Data Scientist – Text Analytics & GenAI

Key Responsibilities

• Partner with business and technical stakeholders to define data-driven solutions leveraging text and language data.
• Design and implement NLP/NLG/NLU models for semantic understanding, entity recognition, and text summarization.
• Experiment with and fine-tune pre-trained LLMs and embedding models (e.g., GPT, Llama 2, Falcon, Mistral).
• Develop scalable pipelines for data ingestion, model training, and deployment.
• Apply machine learning and deep learning techniques to extract insights from large textual datasets.
• Integrate AI models into business workflows to drive measurable impact.
• Stay current with the latest advancements in Text Analytics, LLMs, and GenAI tools and frameworks.
  

Required Skills & Experience

• 4+ years of experience with Python and analytical tools on large-scale datasets.
• Strong expertise in Semantic Models and Named Entity Recognition (NER).
• Deep hands-on experience in NLP/NLU/NLG using PyTorch, TensorFlow, BERT, LangChain, and OpenCV.
• Practical exposure to GenAI models such as GPT 3.5/4, Llama 2, Mistral, Falcon, and Prompt Engineering.
• Experience with Azure ML or other cloud-based AI/ML services.
• Sound understanding of ML algorithms: Linear/Logistic Regression, Decision Trees, Clustering, Text Mining, Forecasting, and Optimization.
• Strong programming and data skills – Python, SQL, and ML frameworks such as TensorFlow.
• Demonstrated ability to engage clients, translate problems into AI solutions, and deliver measurable business outcomes.
• High-level understanding of language semantics and data standardization principles.
  

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