Data Scientist (SLM) | MNC | 4 To 10 yrs

Job Title: Data Scientist (SLM)

Band:

About the Role

Data Scientists

Key Responsibilities

• Design, develop, and implement advanced

  machine learning models

  , with a focus on

  LLMs, SLMs, and NLP/NLI applications

  .
• Build and optimize

  multilingual SLMs

  , including adaptor fine-tuning, supervised fine-tuning (SFT), pruning (base & instruct models), and performance optimization.
• Develop and refine

  conversational AI systems

  and

  retrieval frameworks

  for Q&A bots.
• Preprocess and engineer features from

  large-scale text datasets

  for diverse NLP tasks.
• Apply

  contrastive learning

  and

  graph-based embedding methods

  leveraging heterogeneous features.
• (Preferred) Build and maintain

  active learning pipelines

  for NLP systems.
• Scale machine learning models for

  large-scale search and inference systems

  .
• Deploy optimized models into

  production environments

  , ensuring robustness and efficiency.
• Collaborate with cross-functional teams to solve complex business problems through data-driven methods.
  
• Conduct research on

  state-of-the-art LLM and SLM techniques

  , contributing to new algorithmic innovations.
• Mentor junior team members and provide technical leadership in NLP/LLMs.
  
• Stay updated with the latest developments in

  GenAI, LLMs, and NLP

  , and share insights with clients and internal teams.
• Continuously improve the teams data science processes and methodologies.
  

Mandatory Skills

• Deep expertise in

  Natural Language Processing (NLP, NLI)

  ,

  tiny/small language models

  , and

  base language models

  .
• Strong experience with

  conversational NLP systems

  .
• Hands-on experience with

  SLM adaptor fine-tuning

  ,

  SFT training

  , and

  model pruning

  .
• Experience building and optimizing

  retriever frameworks

  for Q&A applications.
• Strong knowledge of

  contrastive learning

  ,

  graph learning

  , and

  heterogeneous embeddings

  .
• (Preferred) Experience with

  active learning pipelines

  for NLP tasks.
• Experience scaling models to

  large-scale search systems

  is a plus.
• Strong critical reasoning and data-centric problem-solving skills.
  
• Ability to perform in a

  fast-paced, high-growth

  environment.

Preferred Skills

• AI/ML certifications

  from AWS, Azure, or Google Cloud.