Remote Full-Stack AI/ML Engineer — Digital Products

Pratt & Whitney; United States; Remote; USD 157,000 - 299,000; Full time

Job summary

Pratt & Whitney is seeking a remote Full Stack AI/ML Developer for Digital Products. You will drive product vision, collaborate with engineering, data science, AI/ML, design and product teams, and deliver modern digital solutions with scalable AI capabilities.

The role emphasizes deploying AI/ML features, APIs, and microservices while aligning with customer and business needs in a fast-paced environment.

Qualifications

• Bachelor’s degree or advanced degree with extensive work experience in data/AI tech.
• 10+ years in data engineering, data architecture, analytics, AI/ML or related fields.
• 5+ years designing cloud-native data platforms (Azure, AWS, or GCP).
• Experience with AI frameworks such as MLflow, PyTorch, TensorFlow and cloud ML platforms.
• Hands-on with Docker, Kubernetes, and building microservices.

Responsibilities

• Collaborate with cross-functional agile teams to design, build, and manage digital products from concept through launch.
• 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.

Skills

Python

Java

C#

CI/CD

API design

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field

Advanced Degree with 10+ years of applicable work experience

Tools

Databricks

Docker

Kubernetes

MLflow

PyTorch

TensorFlow

SageMaker

Azure ML

Kafka

Kafka Streams

Job description

Pratt & Whitney is seeking a remote Full Stack AI/ML Developer for Digital Products. You will drive product vision, collaborate with engineering, data science, AI/ML, design and product teams, and deliver modern digital solutions with scalable AI capabilities.

The role emphasizes deploying AI/ML features, APIs, and microservices while aligning with customer and business needs in a fast-paced environment.