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Indigo Beam

Deep Learning Data Scientist

Indigo Beam Houston, Texas, United States

IT Services and IT Consulting · 51-200 employees

8 h ago
data-scientist Mid (2-5 yrs) Contractor United States
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About the role

The role involves researching and developing deep learning technologies to solve business problems within the energy sector. You will collaborate with stakeholders and engineers to prototype, implement, and evaluate AI products throughout the product lifecycle.

What they look for

Deep Learning CNNs Transformers Multimodal LLM PyTorch Git HPC Clusters Azure AWS Unix Bash Data Science AI Product Development Model Training Algorithm Development

Requirements

Candidates must possess deep learning expertise, including experience with CNNs, Transformers, and multimodal LLM architectures. A Master's or PhD in a STEM field is required, along with proficiency in PyTorch, cloud architectures, and distributed model training.

Full description

Deep Learning Data Scientist

Location: Houston, TX (on-site, 5 days per week) Type: Contract

Role Summary We are looking for a Deep Learning Data Scientist to research and develop deep learning technologies for business problems across energy datasets for a global energy client. You will work with business stakeholders and engineers to prototype, implement, evaluate and evolve AI products.

Key Responsibilities

  • Translate business problems into technical AI solutions and execute implementation.
  • Design, implement and evaluate deep learning solutions across diverse datasets such as upstream and renewables.
  • Prototype and implement domain-specific AI solutions and work with engineers across the product lifecycle.
  • Engage stakeholders and contribute to scientific and industry knowledge.

Requirements

  • Deep learning expertise, including CNNs and Transformers.
  • Advanced analytics algorithms and model development.
  • Multimodal LLM architectures and algorithms.
  • Familiarity with agentic workflows / AI Foundry.
  • PyTorch, Git and distributed model training on HPC clusters.
  • Azure/AWS cloud architectures and Unix/Bash.
  • Master's or PhD in a STEM field plus relevant deep learning experience. Energy industry experience preferred.
  • Must be able to work on-site in Houston, TX, 5 days per week.

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