Data Scientist-Artificial Intelligence

IBM; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

IBM Consulting is seeking an AI Solutions Architect to design and deliver AI solutions focused on foundation models and large language models, with hands-on development in Python and frameworks such as TensorFlow, PyTorch, and Keras. The role involves end-to-end project lifecycle management and collaboration with stakeholders to drive cognitive computing initiatives.

The ideal candidate holds a Master's degree and has expertise in NLP/ML methods for unstructured data, cloud platforms, and modern

Qualifications

• Experience designing AI solutions with foundation models and LLMs.
• Proficiency with AI frameworks and Python for model development and deployment.
• Experience with NLP/ML methods for unstructured data and cognitive computing.

Responsibilities

• Design AI solutions using cutting-edge technologies focusing on foundation models and LLMs.
• Develop cognitive solutions processing structured and unstructured data with NLP/ML.
• Implement AI frameworks and deploy models using Python and popular libraries.
• Oversee the full AI project lifecycle from research to production deployment.
• Collaborate with stakeholders to translate business problems into AI-driven solutions.

Skills

Python programming

AI/ML concepts

NLP

Machine Learning

Education

Master's Degree

Tools

TensorFlow

PyTorch

Keras

Hugging Face

Github Copilot

Amazon Code Whisperer

Job description

Introduction

A career in IBM Consulting is built on long‐term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

A career in IBM Consulting is built on long‐term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

• Design AI Solutions: Architect and deliver AI solutions using cutting‑edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.
• Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies.
• Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models.
• Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery.
• Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI‑driven solutions.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges.
• AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.
• Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions.
• NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.
• Cloud Platforms and Databases: Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

Preferred Technical And Professional Experience

• Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.
• Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.
• Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.