87 Strategic Talent Partner Jobs
Data Scientist - Machine Learning (7-12 yrs)
Strategic Talent Partner
posted 20d ago
Flexible timing
Key skills for the job
Role : Data Scientist
Permanent/ Full time
Experience : 7-12 years
Location : Noida/ Gurgaon/ Pune/ Bangalore
Shift : 12PM to 10PM (10 Hours Shift. Also depends on the project/work dependencies)
Working Days : 5 days
Work Mode : Hybrid
Mandatory Skills :
- Transformer Models - Focus is on hands on ability to write Pytorch code to either finetune or train Open Source (not Open AI) Transformer based models (like BERT, T5, Falcon, LLAMA, Mistral etc.) on GPU machines.
- Should have done projects on LLM and NLP both
- Hands-on on Python Coding Or Guess Estimation Related Questions
- Gen AI
- Machine Learning or Deep Learning (any one is mandatory)
Good to Have Skills :
- ML (basic knowledge), Deep Learning. DL and ML in either ways.
Role :
- Proven experience as an NLP and ML Engineer or similar role
- Have worked on open-source LLM (like Falcon and llama) for various text generation task
- Have done SFT or PEFT on decoder based LLM for a specific text generation task
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Have worked on BERT models for intent classifiers and entity extraction techniques
- Ability to write robust and testable code
- Experience with machine learning frameworks (PyTorch)
Responsibilities :
- Study and transform data science prototypes
- Design NLP applications
- Use effective text representations to transform natural language into useful features
- Find and implement the right algorithms and tools for NLP tasks
- Develop NLP systems according to requirements
- Train the developed model and run evaluation experiments
- Perform statistical analysis of results and refine models
- Extend ML libraries and frameworks to apply in NLP tasks
- Remain updated in the rapidly changing field of machine learning
Functional Areas: Other
Read full job description1-4 Yrs
1-4 Yrs
5-8 Yrs