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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, AI/ML (Hybrid - Aguadilla) - **Company:** RTX - **Location:** AGUADILLA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Artificial Neural Networks, Automation of Tests, Big Data, Continuous Integration, Data Cleansing, Extract Transform Load (ETL), Elasticsearch, Python (Programming Language), Machine Learning, Tensorflow, Prometheus, Unstructured Data, Workflow Management Systems, Data Processing, Graphics Processing Unit (GPU), Feature Engineering, Pytorch, Large Language Models, Grafana, Prompt Engineering, Apache Spark, Model Validation, Generative AI, Scikit Learn, Kubernetes, Machine Learning Operations, Software Version Control - **Published:** August 31, 2026 - **Apply:** https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-PR-AGUADILLA-110--Rd-110-N-Km-288--RD110/Senior-Software-Engineer--AI-ML--Hybrid---Aguadilla-_01869838 ## About the Role * 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). ## Description 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., 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)