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Senior Data Scientist

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Onsite

Senior Data Scientist

Intuitive.ai

Senior Data Scientist

Skills

Deep LearningData MiningPythonDevOpsCybersecurityMachine LearningAIAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

16 August 2026

What they need


About us:

Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.

Intuitive Superpowers:

  • DataOps & AI/ML

  • Cloud Native, AppSecOps, DevSecOps

  • Cloud Migration & Transformation

  • Cloud FinOps

  • Cybersecurity (App/Data/Infra) & GRC

  • SDx & Digital Workspace

We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.

About the job:

Title – Senior Data Scientist

Start date: Immediate

Position Type: Full Time

Location: Remote across USA

Description

As a Data Scientist, you will

  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI solutions to address real-world challenges
  • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
  • Provide customer and market feedback to product and engineering teams to help define product direction

Basic Qualifications

  • Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
  • 2+ years of hands-on experience with generative AI technology
  • 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning (Will help Win Predictor Use case)
  • 5+ years of hands on experience with Python to build, train, and evaluate models
  • Customer facing experience

Preferred Qualifications

  • Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
  • Experience building generative AI applications on AWS using services such as Amazon Bedrock, Amazon Bedrock AgentCore and Amazon SageMaker
  • Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
  • Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
  • Experience with open source frameworks for building applications powered by LLMs like Strands, LangChain, LlamaIndex.
  • Hands on experience building cloud applications

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