TalentAQ

TalentAQ

Data Scientist

Data Science•Full Time•Remote•

Required Skills
33 skills

RAG
NLM
LLMs
NLP
NLU
Python
PyTorch
TensorFlow
AI
ML
Data Science
MachineLearning
DeepLearning
GenerativeAI
ArtificialIntelligence
NLP
LLM
DataScientist
AIJobs
MLJobs
RemoteJobs
Python
BigData
DataEngineering
CloudComputing
MLOps
AIResearch
NaturalLanguageProcessing
HuggingFace
VectorDatabases
Innovation
TechTalent
DataAnalytics

Job Description

<h3>Job Overview</h3><p>We are seeking a talented and passionate Data Scientist to join our fast-moving AI project. In this role, you will be responsible for developing and implementing cutting-edge Generative AI solutions, with a focus on Retrieval-Augmented Generation (RAG), Natural Language Modeling (NLM), and Large Language Models (LLMs). You will collaborate with global teams to drive innovation in advanced AI/ML pipelines and contribute to the development of GenAI products.</p><h3>Key Responsibilities</h3><ul><li>Develop and implement RAG-based solutions for various applications.</li><li>Design and train NLM models for natural language understanding and generation.</li><li>Work with LLMs to create innovative AI-powered products.</li><li>Deploy scalable AI/ML systems in production environments.</li><li>Collaborate with cross-functional teams to integrate AI solutions.</li></ul><h3>Required Skills</h3><ul><li>Expertise in RAG, LLMs, and NLP/NLU.</li><li>Proficiency in Python and PyTorch/TensorFlow.</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. In this role, you will be responsible for developing and implementing cutting-edge Generative AI solutions, with a focus on Retrieval-Augmented Generation (RAG), Natural Language Modeling (NLM), and Large Language Models (LLMs). You will collaborate with global teams to drive innovation in advanced AI/ML pipelines and contribute to the development of GenAI products.

Key Responsibilities

  • Develop and implement RAG-based solutions for various applications.
  • Design and train NLM models for natural language understanding and generation.
  • Work with LLMs to create innovative AI-powered products.
  • Deploy scalable AI/ML systems in production environments.
  • Collaborate with cross-functional teams to integrate AI solutions.

Required Skills

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

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