Associate Data Scientist, Machine Learning at Trinity Life Sciences | TopGenAIJobs

Associate Data Scientist, Machine Learning

Trinity Life Sciences

Bengaluru

2-4 years

Today

₹8–19 LPA

Full-time

Onsite

Skills Required

LLM

RAG

LangChain

LlamaIndex

Gen AI

Transformer

Machine Learning

Deep Learning

Python

NLP

TensorFlow

Keras

PyTorch

Neural Networks

RNN

Description

We're committed to bringing passion and customer focus to the business.

Role: Associate Data Scientist, Machine Learning

Location: India - Bangalore | India - Gurgaon

Experience:

2-4 years

Key Skills:

Python
Machine Learning
Deep Learning
Neural Networks
RNN
LSTM
Transformer
NLP
TensorFlow
Keras
Pytorch

Role Focus:

Research & develop business use cases for LLM integration
Conduct research on LLM integration opportunities
Stay updated with AI, machine learning, and NLP advancements
Experiment with cutting-edge AI technologies
Collaborate with cross-functional teams on LLM integration
Evaluate and fine-tune machine learning and deep learning models
Implement model optimization and hyperparameter tuning best practices
Collaborate with data scientists, engineers, and stakeholders on AI initiatives
Discover and investigate open-source models for specific tasks
Proficiency in creating data pipelines

Nice to have:

Hands-on experience with Generative Models (OpenAI / Open-source models)
Hands-on experience with LLM Frameworks like LangChain and Llama Index
Hands-on experience in building applications and solutions using Large Language Models
Expertise in Prompt Engineering
Experience in LLM Fine tuning
Experience with Azure Cloud computing

Prepare for this role

Recommended resources to build the skills for this position. Sponsored.

Python 3 Programming Specialization

Coursera

Intermediate Python covering classes, inheritance, APIs, and data processing.

Python for Everybody Specialization

Coursera

Learn Python from scratch — variables, data structures, web scraping, and databases.

Generative AI with Large Language Models

Coursera

Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.