Full Stack AI/ML Developer – Digital Products

🕒 Outubro 19

🦌 Connecticut – Remoto

🦌 Connecticut – Remote

💵 $157.200 - $298.800 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 0%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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RTX

SiteLinkedInTodas as Vagas

10.000+ funcionários

🚀 Aeroespacial

🎖️ Defesa

🏭 Manufatura

💰 $200.000 Grant - RTX em 2024-11

Aerospace • Defense • Manufacturing

A RTX é uma empresa multinacional do setor aeroespacial e de defesa que reúne negócios de aviação e defesa — incluindo Collins Aerospace, Pratt & Whitney e Raytheon — para projetar, fabricar e manter motores de aeronaves, unidades de potência auxiliares, sistemas aeroespaciais integrados e soluções de defesa. A empresa se concentra em avançar tecnologias que impulsionam o voo, fortalecem a segurança nacional e apoiam clientes governamentais e comerciais em todo o mundo, com presença global nas Américas, Ásia-Pacífico, Europa, Oriente Médio e África. A RTX enfatiza engenharia, manufatura e pesquisa para resolver desafios técnicos complexos para a aviação e defesa.

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 • 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

🎯 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 • 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

🏖️ 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 may be available • Employee referral award may be available • Remote work primarily from home

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