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IBM

Data Scientist-Artificial Intelligence

IBM

Published 12 May 2026
Hyderabad, India
Full Time

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Role Highlights

Languages used

Python
JavaScript

Key skills

AI
Data Analysis
NLP
Machine Learning
Operating Systems
Image processing
foundation model
LLMs
Cloud
Research
ProtoTyping
Deployment
NOSQL
UI
Bootstrap

Tools, Libraries and Frameworks

HuggingFace
IOS
Red Hat
IBM
GitHub
Kubernetes
AWS
Azure
GCP
PostGres
MongoDB
Ember
Linux
IOS SDK
Android
Tensorflow
PyTorch
Scikit-learn
Keras
React
JQuery
Pandas
Matplotlib

Description

The role involves architecting and delivering artificial intelligence solutions to address cognitive computing challenges. The individual will develop comprehensive solutions that process and analyze both structured and unstructured data. Responsibilities include overseeing the full project lifecycle from initial research and prototyping through to production deployment. The professional will collaborate with stakeholders to identify business problems and apply artificial intelligence to drive value. Additionally, the role requires applying programming expertise to develop and deploy models.

Required Qualifications and Skills

The role requires proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. Candidates must have experience with tools like Github Copilot and Amazon Code Whisperer, as well as knowledge of NLP and ML methods. Technical expertise in cloud platforms including Kubernetes, AWS, Azure, and GCP is necessary, alongside experience with relational and NoSQL databases. No specific degree or professional qualification requirements are mentioned in the text.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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