Data Scientist

2 weeks ago

Greater Bengaluru Area, India 4CRisk Full time ₹ 15,00,000 - ₹ 28,00,000 per year

4CRisk is an AI start-up uniquely positioned to identify and solve the annual $300 billion Risk and Compliance problem for banks, non-bank financial institutions and FinTech companies. Our mission is to help our customers protect brand value and strengthen revenues by reducing risk and cost of compliance. At 4CRisk, technology, data, UI, and products have all been conceived with a customer-centric approach. We believe 'Culture trumps aptitude'. Our Engineering center Software Private Ltd.) in Bangalore, India is looking for bright and passionate candidates who share our vision and wish to be part of a team of talented professionals.

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 3-6 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.

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