Senior Data Scientist 5+ Years Bengaluru

HypTechie; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

HypTechie in Bangalore is seeking a Senior Data Scientist to build and deploy advanced ML solutions with a strong focus on Large Language Models (LLMs), NLP, and predictive analytics. You will lead end-to-end data science initiatives and deliver production-ready AI solutions that drive business impact.

You will require a Master’s or PhD in a quantitative field, 5+ years in data science, 2+ years working with LLMs, and proven experience deploying models to production environments.

Qualifications

• Master’s or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering).
• 5+ years of experience in data science and machine learning.
• 2+ years of hands-on experience with Large Language Models.

Responsibilities

• Design, develop, and deploy ML models with emphasis on LLMs, NLP, and predictive analytics
• Lead end-to-end data science projects from problem definition to production deployment
• Fine-tune and apply Large Language Models (GPT, BERT, T5) for business use cases
• Build predictive models for forecasting, classification, and optimization
• Develop and maintain NLP pipelines for text analytics and document processing
• Architect scalable ML solutions using TensorFlow, PyTorch, Scikit-learn, and Hugging Face
• Collaborate with engineering teams to operationalize models

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Hugging Face

NLP techniques

Regression

Classification

Time-series forecasting

Ensemble methods

Education

Master's or PhD in a quantitative discipline

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

Job description

Senior Data Scientist

Job Category: Product Engineering Location: Bangalore, Karnataka, India

Role Overview

We are seeking a Senior Data Scientist to build and deploy advanced machine learning solutions, with a strong focus on Large Language Models (LLMs), NLP, and predictive analytics. You will lead end-to-end data science initiatives and deliver production-ready AI solutions that drive business impact.

Key Responsibilities

• Design, develop, and deploy ML models with emphasis on LLMs, NLP, and predictive analytics
• Lead end-to-end data science projects from problem definition to production deployment
• Fine-tune and apply Large Language Models (GPT, BERT, T5) for business use cases
• Build predictive models for forecasting, classification, and optimization
• Develop and maintain NLP pipelines for text analytics and document processing
• Architect scalable ML solutions using TensorFlow, PyTorch, Scikit-learn, and Hugging Face
• Collaborate with engineering teams to operationalize models

Who You Are

• Master’s or PhD in a quantitative discipline (Computer Science, Statistics, Mathematics, Engineering)
• 5+ years of experience in data science and machine learning
• 2+ years of hands-on experience with Large Language Models
• Proven experience deploying ML models to production environments

Core Skills & Experience

• Expert proficiency in Python with strong software engineering practices
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Hugging Face
• Strong knowledge of NLP techniques (tokenization, NER, sentiment analysis)
• Solid background in regression, classification, time-series forecasting, and ensemble methods