Posted at: 31 January

Data Scientist

Company

Pilot Company

Pilot Company is a Knoxville-based petroleum corporation operating a network of over 750 travel centers and convenience stores across the US, serving both B2B and B2C markets in the travel and transportation industry.

Remote Hiring Policy:

Pilot Company primarily hires from various regions within the United States, particularly in the South, with some roles offering flexibility for remote work tasks. Specific job postings may have different requirements, so candidates are encouraged to review individual listings for details.

Job Type

Full-time

Allowed Applicant Locations

France

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Job Description

Job Description

As a Data Scientist, you will work on advanced AI/ML models, focusing on RAG, LLMs, prompt engineering, and AI Agents. You will collaborate with cross-functional teams to enhance AI capabilities, develop innovative solutions, and optimize machine learning models.

Being a part of the Engineering team, based in the US and Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams.

The Engineering team is responsible for the design, development, and deployment of the organization's core products, with a focus on efficiency and speed. We architect and implement comprehensive solutions, including tools and platforms, to address key business requirements. These solutions encompass critical areas such as provisioning, configuration, continuous integration/continuous delivery (CI/CD), monitoring, service level agreements (SLAs), performance optimization, and system uptime. The team is committed to meticulous execution and collaborates extensively with a broad range of stakeholders throughout the product lifecycle.

This is a fully remote role from France with openness to travel to the office from time to time.

What will you do:

  • Develop, fine-tune, and optimize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.

  • Implement AI Agents capable of decision-making and interactive learning.

  • Research and experiment with various prompt engineering techniques to improve model performance and accuracy.

  • Build and maintain machine learning pipelines for AI/ML models in production environments.

  • Work with structured and unstructured data, including text, images, and multimodal datasets.

  • Collaborate with software engineers and data engineers to integrate AI models into scalable applications.

  • Analyze and interpret model outputs to refine algorithms and improve performance.

  • Stay updated on the latest AI and ML research and contribute to internal knowledge-sharing initiatives.
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