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Here is an Exciting Opportunity - Data Scientist - Gen AI

  • Source: Naukri
  • Capgemini
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Position Summary:

The Data Scientist Generative AI & NLP Specialist will be responsible for designing, developing, and deploying AI models and solutions that meet our business needs. With 4+ years of hands-on Data Science experience and at least 2+ years working in Generative AI, you will bring specialized expertise in LLMs and NLP. Project experience in NLP is a must, and experience in developing AI Agents will be considered a strong plus. This role suits a creative, analytical, and proactive individual focused on pushing the capabilities of AI within our projects.

Key Responsibilities:
• Develop and implement AI models focused on NLP tasks—such as text classification, entity recognition, sentiment analysis, and language generation.
• Leverage deep knowledge of Large Language Models (LLMs) to design, fine-tune, and deploy high-impact solutions across various business domains.
• Collaborate with cross-functional teams (data engineers, product managers, and domain experts) to define problem statements, build robust data pipelines, and integrate models into production systems.
• Stay current with advancements in Generative AI and NLP; research and evaluate new methodologies to drive innovation and maintain a competitive edge.
• Build, test, and optimize AI agents for automated tasks and enhanced user experiences where applicable.
• Ensure the integrity and quality of data throughout the model development lifecycle, including data preprocessing, feature engineering, and model validation.
• Communicate complex technical findings effectively to stakeholders through presentations, reports, and visualizations.
• Maintain documentation for all models, processes, and experiments, following best practices in version control and reproducibility.

Required Qualifications:
• B.S./M.S. or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of professional experience in Data Science, with a proven track record of applying machine learning or AI techniques to real-world problems.
• At least 2 years of specialized experience in Generative AI, with demonstrable hands-on experience working with LLM architectures (e.g., GPT, BERT, etc.).
• Strong project experience in Natural Language Processing (NLP), including building and deploying NLP models in production environments.
• Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face Transformers, Scikit-learn, etc.).
• Experience with data management, model versioning, and workflow orchestration tools.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:
• Hands-on experience developing AI Agents or autonomous systems.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) for scalable model deployment.
• Exposure to reinforcement learning frameworks and techniques.
• Experience with DevOps/MLOps practices for robust model deployment and monitoring.

Skills

  • processing-js
  • Python
  • Tensorflow
  • PyTorch
  • hugging-face
  • Transformers
  • Scikit-learn
  • amazon-web-services
  • google-cloud-platform
  • microsoft-azure

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