Data Scientist

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 /

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.

AI / ML certifications from AWS, Azure, or Google Cloud are a plus.