Senior Data Scientist

Responsibilities:

• Fine-tune open source LLM models for various applications, such as chatbots, question-answering systems, and recommendation engines.
• Pre-process and clean large text / instructions-based datasets for LLM finetuning.
• Able to tweak different prompts depending on the use case.
• Experiment with different LLM architectures and fine-tune models for specific tasks.
• Evaluate LLM performance and identify areas for improvement.
• Collaborate with backend team and DevOps to integrate LLMs into existing product stack.
• Stay up to date on the latest advancements in LLM research.
• May involve some contribution to defining product requirements and developing use cases for LLM models.
• Able to create LLM inference pipeline to productionize LLM and LM for multi-tenant SaaS Application
• Pre-train and fine-tune Language models for domain specific STS Task

Qualifications:

• Strong understanding of Natural Language Processing (NLP) techniques.
• Need 5-8 years of experience working as a Data Scientist.
• Proven experience in working with large text datasets.
• Hands on Experience on Prompt Engineering
• Excellent communication and collaboration skills.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Experience with cloud platforms (AWS, GCP, Azure) a plus.