Data Scientist-Artificial Intelligence
IBM
This job at a glance
- Who can apply
- Freshers
- Must know
- Data analysisLLMsGitMachine learningNLPPython
- Nice to have
- JavaScriptReactAngularscikit-learn
- Work
- On-site in Hyderabad
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis47%LLMs6%Machine learning6%of 17 similar fresher jobs posted in India this week
- Listed
- 12 Nov 2026 · still open
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About the Role
A career in IBM Consulting involves building long-term client relationships and global collaboration. You will assist leading companies in their hybrid cloud and AI initiatives, leveraging IBM technology, Red Hat, and strategic partner support to drive significant client impact. Curiosity is key at IBM Consulting; challenging the status quo, exploring new ideas, and creating innovative solutions are encouraged. The culture promotes growth and empathy, focusing on career development while valuing individual skills and experiences.
Your Role And Responsibilities
As a Data Scientist with expertise in Artificial Intelligence, you will blend data analysis and business understanding to address cognitive computing challenges. You will be responsible for designing and delivering AI solutions using advanced technologies, with a specific emphasis on foundation models and large language models.
- Design AI Solutions: Architect and deliver AI solutions utilizing cutting-edge technologies, focusing on foundation models and large language models. This includes experience with tools like Github Copilot and Amazon Code Whisperer.
- Develop Cognitive Solutions: Create comprehensive cognitive solutions to effectively process and analyze both structured and unstructured data. This requires expertise in NLP, ML, and 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 entire AI project lifecycle, from research and prototyping to production deployment, ensuring successful project delivery.
- Collaborate with Stakeholders: Partner with various stakeholders to identify business challenges and harness the power of artificial intelligence for cognitive computing, driving business value through AI-driven solutions.
Requirements & Tech Stack
- Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and address cognitive computing challenges.
- AI Frameworks and Tools: Experience with AI frameworks like TensorFlow, PyTorch, Keras, or Hugging Face, and tools such as Github Copilot and Amazon Code Whisperer for AI model development and deployment.
- Programming Skills: Proficiency in Python, with demonstrated 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 with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP) and their services, as well as relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB).
Preferred Technical And Professional Experience
- Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery.
- Understanding of libraries like SciKit Learn, Pandas, Matplotlib.
- Experience with various operating systems including Linux, Windows, iOS, and Android.