AI Data Scientist

Location:

Experience Required

• Total Experience: 7–10 Years
• Relevant Experience: 7–10 Years
  

Role Summary

Data Scientist with specialization in Artificial Intelligence

ML, NLP, foundation models, and large language models (LLMs)

Key Responsibilities

• Design, architect, and deliver AI/ML solutions using modern frameworks and cloud platforms.
• Build and customize foundation models & large language models for industry-specific use cases.
• Apply NLP, ML, and deep learning techniques to process structured and unstructured data.
• Develop cognitive solutions leveraging NLP, image/video/voice processing, or Watson technologies.
• Create production-ready pipelines for training, validation, and deployment of AI models.
• Use tools like GitHub Copilot, Amazon CodeWhisperer, and other AI-driven development platforms.
• Work with cross-functional teams to understand business problems and convert them into AI-driven solutions.
• Mentor junior data scientists and drive best practices in AI development.
• Ensure solution scalability, performance optimization, and adherence to industry standards.
  

Mandatory Skills (Must Have)

• Strong experience in AI/ML, especially in:
• Natural Language Processing (NLP)
• Foundation models / LLMs
• ML for structured & unstructured data
• Hands-on experience with:
• Python programming
• AI frameworks: TensorFlow, PyTorch, Keras, Hugging Face
• ML libraries: Scikit-Learn, Pandas, Matplotlib
• Strong expertise in at least one:
• NLP
• Image Processing
• Video Processing
• Voice Processing
• Watson Technologies
• Experience working with databases:
• SQL, PostgreSQL, DB2, MongoDB
• Cloud and containerization exposure:
• AWS, Azure, GCP, Kubernetes
• Ability to work with modern UI frameworks (good understanding):
• React.js, AngularJS, Backbone.js, Ember.js, Bootstrap, jQuery
• Experience across full AI project lifecycle—from research & prototyping to production deployment.
  

Good To Have Skills

• Experience in industrial/cognitive automation solutions.
• Experience working in multi-disciplinary teams handling end-to-end digital transformation.
• Familiarity with MLOps tools and practices.
  

Additional Notes

• Only candidates with relevant experience will be considered for Band 6B.
• Interested candidates must be willing to work from office from Day 1.
• Basic validations and interest-level check are mandatory before submission.