Full Stack AI/ML Developer – Digital Products

🔥 0 minutes ago

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $157.2k - $298.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RTX

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🎖️ Defense

🏭 Manufacturing

💰 $200k Grant - RTX on 2024-11

Aerospace • Defense • Manufacturing

RTX is a multinational aerospace and defense company that brings together aviation and defense businesses—including Collins Aerospace, Pratt & Whitney and Raytheon—to design, manufacture and service aircraft engines, auxiliary power units, integrated aerospace systems and defense solutions. The company focuses on advancing technologies that power flight, strengthen national security and support government and commercial customers worldwide, with a global presence across the Americas, Asia-Pacific, Europe, the Middle East and Africa. RTX emphasizes engineering, manufacturing, and research to solve complex technical challenges for aviation and defense.

📋 Description

• Collaborate with cross-functional agile teams to design, build, and manage digital products from concept through launch and adoption • Develop front-end architectures and intuitive, responsive user interfaces • Leverage Palantir Foundry for data integration, ontology management, pipeline development, operational workflows, and deployment of data-driven applications and AI/ML use cases • Design and implement backend services using C#, Java, and Python • Build and maintain scalable APIs, microservices, and integration frameworks • Integrate AI/ML models into applications, including inference pipelines, intelligent features, and model-driven user experiences • Build and maintain data and application pipelines supporting AI/ML functionality and model deployment • Collaborate on feature engineering, model testing, validation, and operationalization • Apply DevOps practices across CI/CD, automated testing, cloud deployment, and containerized workloads • Influence stakeholders through clear communication, structured artifacts, and product storytelling • Participate in Agile workflows, sprint definition, backlog prioritization, and iterative product releases • Stay current on cloud platforms, AI/ML frameworks, front-end and backend tools, and modern development practices • Ensure solutions meet technical requirements and customer needs • Support UI/UX design standards and best practices

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field with 12+ years of applicable work experience OR an Advanced Degree with 10+ years of applicable work experience • 10+ years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains • 5+ years architecting cloud-native data platforms using Azure, AWS, or GCP • Deep experience with Databricks, Lakehouse architectures, and modern ELT/ETL tooling • Strong understanding of distributed systems, real-time data streaming, data governance, and API/integration architectures • Hands-on experience with Palantir Foundry, including data pipeline transformations, ontology management, and application deployment • Ability to design and implement enterprise-scale data architecture solutions • Familiarity with MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, or Vertex • U.S. citizenship required • Preferred: experience with Java and Spring Boot, microservices, REST APIs, CI/CD, Agile, SDLC management, Docker, Kubernetes, web application security, Apache Kafka, Kafka Streams, AI/ML features, and cloud migration/digital transformation

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • Short-term disability • Long-term disability • 401(k) match • Flexible spending accounts • Flexible work schedules • Employee assistance program • Employee Scholar Program • Parental leave • Paid time off • Holidays • Annual short-term and/or long-term incentive compensation programs may be available • Employee referral award may be available • Remote work primarily from home