Data Scientist-Artificial Intelligence
IBM is hiring a Data Scientist for its consulting division to build AI and cognitive computing solutions. The role involves architecting and deploying AI models with a focus on foundation models and LLMs. Candidates should have strong Python skills and experience with AI frameworks like PyTorch or TensorFlow. The position requires end-to-end management of AI projects in a client-facing environment.
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Experience
Experience not specified
Function
Research
Work mode
Onsite, India
Company
Tier 2
What you will work on
IBM is hiring a Data Scientist for its consulting division to build AI and cognitive computing solutions. The role involves architecting and deploying AI models with a focus on foundation models and LLMs. Candidates should have strong Python skills and experience with AI frameworks like PyTorch or TensorFlow. The position requires end-to-end management of AI projects in a client-facing environment.
TAL's take
Solid tier-2 role at a global firm with clear focus on AI/LLM solutioning, though the JD is somewhat broad in its technology requirements.
The role is clearly defined as a data scientist focusing on AI/LLM solutions, with a coherent list of responsibilities and technical stack.
Salaries at IBM
19.2 LPA average
Based on 1,727 Grapevine salary entries for IBM.
Research
0 - 2 years | 6A
11 LPA average
Range: 11 - 11 LPA
Research
2 - 4 years | 6A
6 LPA average
Range: 6 - 6 LPA
Research
6 - 8 years | 7A
23 LPA average
Range: 23 - 23 LPA
Research
10 - 12 years | Band 8
28 LPA average
Range: 27 - 30 LPA
Must haves
- Proficiency in Python
- Experience with AI frameworks (TensorFlow, PyTorch, Keras, or Hugging Face)
- Experience with large language models and foundation models
- Experience with cloud platforms and databases
- Understanding of advanced analytics techniques
Tools and skills
Nice to have: backbone.js, angularjs, react, ember.js, bootstrap, jquery, scikit learn, pandas, matplotlib, linux, windows, ios, android.
About the company
Global enterprise consulting firm with significant scale but less focus on core product engineering compared to tier 1 tech giants.
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