Date Posted:2026-08-26
Country:United States of America
Location:US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110
Position Role Type:Hybrid
U.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
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 with structured and unstructured data, including data preprocessing, feature engineering, and data-quality assessment.
- Translate a business or engineering problem into an AI/ML problem, select an appropriate technical approach, prototype it, and assess feasibility.
- Design reusable AI/ML architectures, frameworks, APIs, or platforms rather than only developing isolated models.
- Integrate AI/ML capabilities into production software systems.
- Complex data types: time series, image, video, etc.
Qualifications you must have:- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless prohibited by local laws/regulations and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
- Demonstrated professional experience communicating in English (verbal and written).
- U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Qualifications We Prefer:- Experience with Kubernetes, AWS, and GPU acceleration.
- Experience with graph neural networks
- Experience with geospatial datasets
- Experience with observability stacks (Prometheus, Grafana, Thanos, etc.).
- Familiarity with Dagster, Airflow or other modern ETL orchestration tools.
- Familiarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems.
- Experience working in hybrid infrastructure environments (cloud + on-prem Kubernetes).
What We OfferSome of our competitive benefits package includes:
- Medical, dental, and vision insurance
- Three weeks of vacation for newly hired employees
- Generous 401(k) plan that includes employer matching funds
- Participation in the Employee Scholar Program (ESP)
- Life insurance and disability coverage
- Employee Assistance Plan, including up to 8 free counseling sessions.
- And more!
Learn More & Apply Now!Join our growing engineering team in Puerto Rico, where you will provide critical support to all Collins SBUs, working on exciting programs and projects ranging from the development of the next generation of advanced concept ejection seats to the latest technologies for the U.S. warfighter.
WE ARE REDEFINING AEROSPACE.* Please consider the following role type definition as you apply for this role.
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.
Apply now and be part of the team that's redefining aerospace, every day.
