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hirist

Lead Data Scientist

Careernet
7 - 10 Years
Bangalore

Posted on: 29/04/2026

Job Description

Job Description :


Key Skills : Data Science, Machine Learning, Generative AI, Natural Language Processing (NLP), Small Language Models (SLM), Python, Deep Learning, Conversational AI, Model Deployment


Roles & Responsibilities :


- Design, develop, and fine-tune multilingual Small Language Models (SLMs) for travel-related applications such as destination expertise and customer support bots.


- Build custom Natural Language Inference (NLI) and reward-scoring models to improve multi-agent response quality.


- Develop and implement active learning pipelines for NLP, Named Entity Recognition (NER), and domain-specific SLM training.


- Architect and enhance conversational AI systems to understand and respond to multiple intents and user queries.


- Establish evaluation metrics and conduct integration and experience testing to ensure model quality and performance.


- Mentor and guide engineering and data science teams in advanced SLM and Generative AI techniques.


- Collaborate with cross-functional teams to design scalable AI solutions for millions of users.


- Deploy and manage Generative AI models on scalable and efficient infrastructure.


- Optimize AI models for performance, accuracy, and cost efficiency in production environments.


Experience Required :


- 7 - 10 years of experience in Data Science, Machine Learning, or AI-related roles.


- Strong experience in NLP, Generative AI, and language model development.


- Hands-on experience with Python and ML frameworks such as TensorFlow or PyTorch.


- Experience building and fine-tuning Large Language Models (LLMs) or Small Language Models (SLMs).


- Strong knowledge of machine learning algorithms, deep learning, and data processing techniques.


- Experience deploying and scaling AI models in production environments.


- Experience mentoring teams and leading AI or data science initiatives.


- Strong problem-solving skills and experience working with large-scale datasets.


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