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AI Systems Operations Specialist

2 months ago

Palo Alto, California, United States Brain Gain Recruiting Full time

This is an exceptional opportunity to join a pioneering team within an Industrial AI start-up, established by a Stanford professor and guided by leading experts in AI/ML and aerospace analytics.

Our primary offering is an enterprise SaaS solution designed for supply chain management in aircraft fleet maintenance. This product is centered around proprietary AI Engines, facilitating seamless integration of customer data.

The company has secured significant repeat business from the US Air Force Supply Chain operations, supporting the largest aircraft fleet globally. We aim to capitalize on our established military customer product to drive substantial growth in the near term, with a potential M&A exit in the medium term. We are recognized as a technology leader in Enterprise AI for supply chain, with strong customer demand and a high likelihood of rapid success.

Position Overview

The intricate processes involved in our mission-critical Explainable AI (xAI) require thorough cross-validation of data, as well as rigorous testing, verification, and validation of AI systems. Custom-developed AI/ML algorithms are packaged as integrated AI Engines. Our streamlined team is seeking an AI Operations Engineer who will take ultimate responsibility for the AI Engines, their integration within the cloud application, and customer interactions.

A successful candidate will possess a comprehensive understanding of our application’s functionality, customer business cases, and the operational mechanics of the AI, contributing to the smooth execution of feature development and DevOps processes. Depending on individual interests and experience, this role may evolve towards data engineering, AI Engines, customer business, cloud computing, or product management.

Initially, you will engage in a part-time consulting role at a competitive hourly rate. As your contributions accumulate and the business expands, there will be opportunities to transition to a full-time position.

Key Responsibilities:

  • Develop and maintain AI Engines utilizing core AI functionalities, including the presentation of AI results, management of internal and external interfaces, creation of engineering documentation, and customization of AI to resolve customer challenges.
  • Assist in data engineering tasks, ensuring data consistency, and managing preprocessing pipelines that generate AI metadata from raw datasets.
  • Support scalable AI deployment processes. The analytics pipeline encompasses aerospace-grade algorithm verification, test coverage, reporting logic, compilation, and build processes, producing object code and resource files that integrate into the DevSecOps pipeline for the cloud application.
  • Collaborate with the cloud software team, treating the Analytics Engine as a black box with a well-defined API.
  • Occasionally engage with customers regarding data issues, interpretation of analysis results, and ultimately, the business value derived from AI analytics.
  • Document and coordinate enhancements for components, products, and processes.
Qualifications

Essential Qualifications:

  • Degree in Engineering, Applied Mathematics, Computer Science, Physics, or a related field from a prestigious institution.
  • 5+ years of professional experience with analytical applications, including the development and maintenance of analytical codebases.
  • Proficient in MATLAB.
  • Ability to produce comprehensive documentation, as demonstrated through academic, research, professional, or industry publications. Contributions to GitHub may substitute for formal technical publications.
  • Meticulous attention to detail and rigor necessary for the development of mission-critical mathematical software.
  • Experience in maintaining Java code.
  • Familiarity with GitHub, including GitHub Actions.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Experience in areas such as statistics, optimization, controls, signal processing, applied mathematics, and related practical applications.
  • Knowledge of model-based development and simulation-based verification.
  • Proficiency in shell scripting.
Additional Information

US Citizenship Required: This position necessitates the ability to work with Controlled Unclassified Information for the Department of Defense.

Location: This is a remote position, with a flexible schedule available, requiring a minimum commitment of 10 hours per week.