Associate Data Scientist, Machine Learning

Role overview

Associate Data Scientist, Machine Learning at Trinity Life Sciences

Responsibilities

• Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases.
• Evaluate the performance of machine learning and deep learning models and fine-tune them for better accuracy and efficiency.
• Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward.

Required qualifications

• 2-4 years
• 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.
• expertise in Python Language.
• Expertise in Prompt Engineering.

Preferred qualifications and skills

• experience in LLM Fine tuning.
• experience with Azure Cloud computing.

Employment details

• Location: India - Bangalore, India - Gurgaon

Additional role details

• We're committed to bringing passion and customer focus to the business.
• Key Skills : Python , machine Learning, Deep Learning(Neural Networks, RNN, LSTM, Transformer) , Good Understanding of NLP, Transformer models and their internal architecture/working , TensorFlow / Keras/Pytorch
• Reponsibility:
• 1.
• Research & develop business use cases where we can integrate LLM efficiently. 2.
• 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.
• 7.
• Implement best practices for model optimization and hyperparameter tuning. 8.
• 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.