Full Stack AI/ML Developer – Digital Products

🕒 il y a 12 jours

🦌 Connecticut – Distant

🦌 Connecticut – Remote

💵 $157 200 - $298 800 / an

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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RTX

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 2020

🏭 Fabrication

💼 Conseil

📦 Logistique

Manufacturing • Consulting • Logistics

RTX est une entreprise aérospatiale et de défense reconnue mondialement, dédiée aux technologies transformatrices et à l'innovation qui marque son époque. Elle opère à travers diverses entreprises, notamment Collins Aerospace, Pratt & Whitney et Raytheon, avec un accent sur les vols durables, connectés, et des systèmes de défense intelligents. RTX s'engage envers la diversité, l'équité et l'inclusion au sein de l'entreprise et vise à résoudre les problèmes les plus complexes du monde grâce à une technologie de pointe et des talents exceptionnels. De plus, RTX est impliquée dans des projets significatifs tels que la mise à niveau du cœur du moteur F135 et le développement de systèmes de défense antimissile. L'entreprise met l'accent sur la responsabilité d'entreprise et les pratiques durables.

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 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

🎯 Exigences

• U.S. citizenship is required; only U.S. citizens are authorized to access information under this program/contract • 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, and Vertex • Experience with Java and Spring Boot preferred • Experience developing microservices and REST APIs preferred • Proficiency with CI/CD practices and production deployment preferred • Experience with Agile software delivery and SDLC management preferred • Experience with Docker, Kubernetes, and container orchestration platforms preferred • Familiarity with web application security concepts preferred • Experience with Apache Kafka and Kafka Streams preferred • Experience building or supporting AI/ML features, inference APIs, or application-level ML workflows preferred • Ability to explain technical concepts to engineering and non-technical stakeholders preferred • Strong interpersonal, problem-solving, and attention-to-detail skills preferred • Ability to thrive in a fast-paced environment with autonomy and accountability preferred • Proven ability to drive modernization, cloud migration, or digital transformation initiatives preferred

🏖️ Avantages

• 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, subject to eligibility requirements

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