Data Scientist – Text Analytics

1 day ago

Bengaluru, Karnataka, India ETT CareerMove Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title:
Data Scientist – Text Analytics & GenAI

Experience:
5–10 years, education : BE-computer science/ MCA or equivalent

Work Location:
Anywhere in India (remote or hybrid work options)
Engagement:
Full-time

About The Role
IMMEDIATE JOINEES/candidates seving notice period highly preferred
We are seeking a
Lead Data Scientist – Text Analytics & GenAI
to design and deliver cutting-edge solutions that transform unstructured textual data into actionable insights. You will collaborate with cross-functional teams and clients to apply NLP, NLU, and Generative AI techniques across diverse real-world use cases.

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.

If you or someone in your network might be keen, please share profiles or referrals

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