Collins Aerospace

Senior Software Engineer, AI/ML (Hybrid - Aguadilla)

Aguadilla, PR, USPosted 12 days ago

Job Description

Date Posted

2026-08-26Country:

United States of America Location:

US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110 Position Role Type:

HybridU.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.Security Clearance:

None/Not Required Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

As a Software Engineer - AI/ML, you will be building our next generation of Machine Learning models, improving our existing models, and through this work, improving the operational efficiency. The role also supports the development and deployment of AI/ML solutions, evaluates emerging AI/ML tools and frameworks, and assists in modernizing legacy workflows through intelligent automation while promoting secure and responsible data handling throughout the AI/ML lifecycle.

This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.

This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.

What YOU will do

  • Use of Python and common AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Design and implement ML pipelines and MLOps practices, including model versioning, automated testing, CI/CD, deployment, and monitoring.
  • Use of Generative AI, including LLMs, RAG, embeddings/vector databases, prompt engineering, model evaluation, and/or fine-tuning.
  • Evaluate models using appropriate performance, accuracy, robustness, safety, and reliability metrics.
  • Work w

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