Senior Data Scientist at CUBE

About the Role

What you'll do

• Fine-tune open-source LLM models for various applications such as chatbots, question-answering systems, and recommendation engines
• Pre-process and clean large text and instruction-based datasets for LLM fine-tuning
• 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
• Create LLM inference pipelines to productionize LLM and LM for multi-tenant SaaS applications
• Pre-train and fine-tune language models for domain-specific STS tasks

What we're looking for

• Strong understanding of Natural Language Processing (NLP) techniques
• 4-6 years of experience working as a Data Scientist
• Proven experience working with large text datasets
• Hands-on experience in prompt engineering

Skills & Technologies

Required

Benefits & Perks

• Health Insurance
• Flexible Leave Policy
• Learning Budget
• EPF / NPS

Why This Role is Good for Experienced Professionals

• This role offers the opportunity to work on cutting-edge LLM research and engineering in regulatory technology.
• Fine-tune open-source LLM models for chatbots, Q&A systems, and recommendation engines
• Pre-process and clean large text and instruction-based datasets for LLM fine-tuning
• Experiment with different LLM architectures and fine-tune models for specific tasks
• Create LLM inference pipelines to productionize models for multi-tenant SaaS applications
• Pre-train and fine-tune language models for domain-specific STS tasks
• Collaborate with backend and DevOps teams to integrate LLMs into the product stack
• Stay current on the latest advancements in LLM research
• Contribute to defining product requirements and developing LLM use cases
• Work alongside AI research and engineering teams in a fast-growing RegTech company
• Join a globally recognized brand trusted by top financial institutions

About CUBE

Industry

Technology

Company Size

500+

Website

cube.com