Data Scientist-Artificial Intelligence

IBM; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

IBM Consulting is seeking a Data Scientist to architect and deliver AI solutions focusing on foundation models and large language models. You will build cognitive solutions handling structured and unstructured data, leveraging NLP and ML techniques, and deploy models using Python and popular AI frameworks.

You will manage the full lifecycle of AI projects from research to production, collaborating with stakeholders to translate business problems into AI-driven value.

Qualifications

• Advanced analytics techniques for structured data to inform business decisions.
• Experience with NLP and ML methods for unstructured content and cognitive computing.
• Proficiency in Python for AI model development and deployment.
• Experience with cloud platforms and related services, plus databases (SQL, NoSQL).

Responsibilities

• Design AI solutions focusing on foundation models and large language models, using tools like Github Copilot and Amazon Code Whisperer.
• Develop cognitive solutions that process structured and unstructured data, applying NLP, ML, and related AI capabilities.
• Implement AI frameworks with Python and libraries like TensorFlow, PyTorch, Keras, and Hugging Face to build and deploy models.
• Oversee full AI project lifecycle from research to production deployment.
• Collaborate with stakeholders to translate business problems into AI-driven cognitive solutions.

Skills

Advanced analytics techniques

NLP & ML methods

Python programming

Cloud platforms knowledge

Education

Master's degree

Tools

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.

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.

Your Role And Responsibilities

As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models.

Your Primary Responsibilities Will Include

• 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.