I
mportant Note (Please Read Before Applying)
🚫 Do NOT apply if:
You have less than 5 years of Data Scientist experience.
You do not have hands-on SLM,NLP,LLM,python experience.
You are on a notice period longer than 15 days.
You are looking for remote only (role is
hybrid in Banaglore Hyderabad,Chennai,pune
).
You are a fresher or from unrelated backgrounds (e.g., Java-only, Testing-only, Support).
✅ Apply ONLY if you meet
ALL criteria
above. Random / irrelevant applications will not be processed.
Job Title:
Data Scientist
Location:
Banaglore Hyderabad,Chennai,pune
) (Hybrid)
Experience:
5–10 Years (STRICTLY)
Employment Type:
Permanent
Notice Period:
Immediate Joiners / <15 Days Only
About the Company
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Job Description
.
Design, develop, and implement advanced machine learning models, with a focus on LLMs and NLP applications
Collaborate with cross-functional teams to identify and solve complex business problems using data-driven approaches
Conduct research on state-of-the-art LLM techniques and contribute to the development of novel algorithms
Preprocess and engineer features from large-scale textual datasets for NLP tasks
Optimise and deploy machine learning models in production environments
Mentor junior team members and provide technical guidance on NLP and LLM projects
Stay abreast of the latest developments in LLMs and GenAI, sharing insights with the team and clients
Contribute to the continuous improvement of our data science processes and methodologies
Deep experience in Natural Language Processing (NLP and NLI), Tiny/small language models, and base language models
Mandatory Skills:
Extensive experience in conversational NLP systems.
• Experience in SLM adaptor fine-tuning, SFT training, and SLM pruning (base and instruct models).
• Experience in retriever frameworks in Q and A bots.
• Experience in contrastive learning and graph learning-based embedding methods with heterogeneous features.
• Preferably experience in building NLP active learning pipelines.
• Demonstrable experience in scaling your models to large-scale search systems is a plus.
• Very good critical reasoning skills, and data-centric NLP/NLI systems.
• Must have the temperament and hunger to work in a fast-paced environment.
AI/ML certifications from AWS, Azure, or Google Cloud are a plus.