Associate Data Scientist, Machine Learning

Trinity Partners India LLP; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Trinity Partners India LLP is seeking an experienced professional to research and develop business use cases for integrating Large Language Models (LLMs) effectively. You will conduct research, collaborate with teams, and stay abreast of advancements in AI and NLP.

The ideal candidate has 2-4 years of experience, hands-on experience with generative models and LLM frameworks such as LangChain, and proficiency in Python and prompt engineering.

Qualifications

• 2-4 years of relevant experience.
• Hands-on experience with generative models.
• Hands-on experience with LLM frameworks like LangChain and Llama Index.

Responsibilities

• Research & develop business use cases for LLMs.
• Conduct research for integrating Large Language Models (LLMs).
• Stay updated on AI and NLP advancements.
• Experiment with AI technologies to solve problems.
• Collaborate with teams to integrate LLMs into processes.

Skills

Python

Machine Learning

Deep Learning

NLP

TensorFlow

Keras

PyTorch

Job description

Key Skills

• Python
• Machine Learning
• Deep Learning (Neural Networks, RNN, LSTM, Transformer)
• Good understanding of NLP and transformer model architecture
• TensorFlow, Keras, PyTorch

Responsibilities

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

Qualifications

• 2‑4 years of relevant experience.
• Hands‑on experience with generative models (OpenAI / open‑source models).
• Hands‑on experience with LLM frameworks like LangChain and Llama Index.
• Hands‑on experience building applications and solutions using Large Language Models.
• Expertise in Python language and Prompt Engineering.
• Good to have experience in LLM fine‑tuning.
• Good to have experience with Azure cloud computing.