Deep Learning Data Scientist

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.