Associate Data Scientist, Machine Learning

Trinity Life Sciences; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Trinity Life Sciences in Bengaluru is seeking an AI/ML professional to develop and integrate Large Language Models (LLMs) into business processes. The ideal candidate should have 2-4 years of experience with a strong proficiency in Python and deep learning. Responsibilities include researching AI technologies, optimizing models, and collaborating with cross-functional teams. Knowledge of Azure and LLM frameworks like LangChain is an advantage. Position offers an opportunity to work with cutting-edge AI solutions.

Qualifications

• 2-4 years of experience in AI/ML roles.
• Expertise in Python is a must.
• Experience in fine-tuning LLMs is beneficial.
• Hands-on with generative models (OpenAI / open-source).

Responsibilities

• Research and develop use cases for integrating LLMs.
• Evaluate and fine-tune machine learning models for better performance.
• Collaborate with cross-functional teams to drive AI initiatives.
• Stay informed about AI and machine learning advancements.

Skills

Python

Machine learning

Deep learning

Natural language processing

TensorFlow

Keras

PyTorch

Prompt engineering

Data pipelines

Tools

Azure

LangChain

Llama Index

Job description

Key Skills

• Python
• Machine learning
• Deep learning (neural networks, RNN, LSTM, Transformer)
• Strong understanding of natural language processing and transformer models’ internal architecture/working
• TensorFlow, Keras, PyTorch

Responsibilities

• Research & develop business use cases to integrate LLMs efficiently.
• Conduct research to identify opportunities for integrating Large Language Models into various business use cases.
• Stay up-to-date with the latest advancements in AI, machine learning, and natural language processing.
• Experiment with cutting‑edge AI technologies and algorithms to solve complex problems.
• Collaborate with cross‑functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications.
• Evaluate the performance of machine learning and deep learning models and fine‑tune them for better accuracy and efficiency.
• Implement best practices for model optimization and hyperparameter tuning.
• Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward.
• Discover and investigate open‑source models that can be utilized for specific tasks such as summarization and sentiment detection.
• Proficiency in creating data pipelines.

Experience & Qualifications

Experience: 2–4 years.

Must have expertise in Python.

Expertise in prompt engineering.

Good to have experience in LLM fine‑tuning.

Good to have experience with Azure cloud computing.

Additional Skills

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.