Full Stack AI/ML Developer – Digital Products

🔥 12 hours 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

Founded 2020

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

RTX is a globally recognized aerospace and defense company dedicated to transformative technologies and era-defining innovation. It operates through various businesses, including Collins Aerospace, Pratt & Whitney, and Raytheon, with a focus on sustainable, connected flight and smarter defense systems. RTX is committed to diversity, equity, and inclusion across the company and aims to solve the world’s most complex problems with cutting-edge technology and talent. Additionally, RTX is involved in significant projects like upgrading the F135 Engine Core and developing missile-defense systems. The company emphasizes corporate responsibility and sustainable practices.

📋 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 • Design and implement backend services using C#, Java, and Python • Build and maintain scalable APIs, microservices, and integration frameworks • Partner with Data Scientists and AI Engineers to 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 and support decision-making through clear communication, structured artifacts, and product storytelling • Participate in Agile workflows including sprint definition, backlog prioritization, and iterative product releases • Stay current on emerging 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 • Demonstrated ability to design and implement enterprise-scale data architecture solutions • Familiarity with AI frameworks and tooling such as MLflow, PyTorch, TensorFlow, Azure ML, SageMaker, and Vertex • U.S. citizenship required; only U.S. citizens are authorized to access information under this program/contract • Qualifications preferred include experience with Java, Spring Boot, microservices, REST APIs, CI/CD, Agile, SDLC management, Docker, Kubernetes, Kafka, Kafka Streams, web application security, and AI/ML feature integration • Ability to explain technical concepts to engineering and non-technical stakeholders • Strong interpersonal, collaboration, problem-solving, and attention-to-detail skills • Ability to thrive in a fast-paced environment with autonomy and accountability • Proven ability to drive modernization, cloud migration, or digital transformation initiatives

🏖️ 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, where eligible • Employee referral award, where eligible • Remote work primarily from home