Full Stack AI/ML Developer – Digital Products

🕒 Setembro 22

🦌 Connecticut – Remoto

🦌 Connecticut – Remote

💵 $157.200 - $298.800 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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RTX

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 2020

🏭 Manufatura

💼 Consultoria

📦 Logística

Manufacturing • Consulting • Logistics

A RTX é uma empresa globalmente reconhecida nos setores aeroespacial e de defesa, dedicada a tecnologias transformadoras e inovações marcantes. Ela opera por meio de diversos negócios, incluindo Collins Aerospace, Pratt & Whitney e Raytheon, com foco em voo sustentável e conectado, além de sistemas de defesa mais inteligentes. A RTX está comprometida com a diversidade, equidade e inclusão em toda a empresa e visa resolver os problemas mais complexos do mundo com tecnologia de ponta e talento. Além disso, a RTX está envolvida em projetos significativos, como a atualização do Núcleo do Motor F135 e o desenvolvimento de sistemas de defesa contra mísseis. A empresa enfatiza a responsabilidade corporativa e práticas sustentáveis.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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