TalentAQ

TalentAQ

Data Scientist

Data Science•Full Time•Remote•

Required Skills
9 skills

RAG
NLM
LLMs
NLP
NLU
Python
PyTorch
TensorFlow
Vector Databases

Job Description

<h3>Job Overview</h3><p>We are seeking a talented and passionate Data Scientist to join our fast-moving AI project. As a Data Scientist, you will be responsible for developing and implementing cutting-edge Generative AI solutions, with a focus on Retrieval-Augmented Generation (RAG) and Natural Language Modeling (NLM).</p><h3>Key Responsibilities</h3><ul><li>Design and implement RAG-based solutions for various applications.</li><li>Develop and fine-tune Large Language Models (LLMs) for specific tasks.</li><li>Collaborate with global teams to build and deploy GenAI products.</li><li>Contribute to the research and development of advanced AI/ML pipelines.</li><li>Deploy scalable AI/ML systems in production environments.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Python and experience with PyTorch/TensorFlow.</li><li>Hands-on expertise with RAG, LLMs, and NLP/NLU techniques.</li><li>Experience with vector databases.</li><li>Strong research-to-production mindset.</li></ul>

Job Overview

We are seeking a talented and passionate Data Scientist to join our fast-moving AI project. As a Data Scientist, you will be responsible for developing and implementing cutting-edge Generative AI solutions, with a focus on Retrieval-Augmented Generation (RAG) and Natural Language Modeling (NLM).

Key Responsibilities

  • Design and implement RAG-based solutions for various applications.
  • Develop and fine-tune Large Language Models (LLMs) for specific tasks.
  • Collaborate with global teams to build and deploy GenAI products.
  • Contribute to the research and development of advanced AI/ML pipelines.
  • Deploy scalable AI/ML systems in production environments.

Required Skills

  • Proficiency in Python and experience with PyTorch/TensorFlow.
  • Hands-on expertise with RAG, LLMs, and NLP/NLU techniques.
  • Experience with vector databases.
  • Strong research-to-production mindset.

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