Principal Machine Learning Engineer

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East Hartford (CT)

On-site

USD 150,000 - 210,000

Full time

4 days ago

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Job summary

Pratt & Whitney in East Hartford, CT is seeking a senior AI/ML architect to develop and integrate AI solutions across domain-specific systems. You will build, test, deploy, and monitor production AI systems for design optimization and productivity tools.

The role requires extensive experience in data gathering, model training, lifecycle management, and cross-functional collaboration with engineering, digital and operations teams worldwide.

Qualifications

Bachelor's degree in STEM with 8+ years of digital/engineering experience, or advanced degree with 5+ years.
3 years of experience with Data and AI or digital-driven engineering apps, ML pipelines, system integration and monitoring.
Development and deployment of software systems that integrate AI components.
Hands-on experience using LLM-based chat systems (ChatGPT, Gemini, Copilot).

Responsibilities

Develop and integrate AI/ML solutions into existing and future domain-specific systems.
Build, test, deploy, and monitor AI systems for design optimization, product inspection, field investigation, and productivity assistants.
Develop and maintain AI/ML models throughout their lifecycle including data gathering, feature engineering, model training, validation, deployment and monitoring.
Develop and maintain full-stack software systems integrating AI models and capabilities.
Architect, evaluate, implement, and maintain Pratt & Whitney's AI Platform Ecosystem including MLOps, image annotation, and Databricks workspaces.
Support rollout of enterprise-wide AI productivity tools such as Microsoft Copilot.
Define, document, and train AI/ML best practices.
Build partnerships across Pratt & Whitney Engineering, Digital, Operations, and international sites.

Skills

AI/ML Solutions Development

Data Gathering

Feature Engineering

Model Training

Model Validation

Model Monitoring

Software System Integration

Automated Testing

CI/CD Practices

Production AI/ML Modeling

Education

Bachelor's degree in STEM

Advanced Degree in related field

Tools

Databricks

AWS SageMaker Studio

MLflow Server

Microsoft Copilot

ChatGPT

Gemini

Amazon Web Services

Microsoft Azure

Job description

Develop and integrate AI/ML solutions into existing and future domain-specific systems
Build, test, deploy, and monitor AI systems for design optimization, product inspection, field investigation, and productivity assistants
Develop and maintain AI/ML models throughout their lifecycle, including data gathering, feature engineering, model training, validation, deployment, and monitoring
Develop and maintain full-stack software systems integrating AI models and capabilities
Architect, evaluate, implement, and maintain Pratt & Whitney's AI Platform Ecosystem, including MLOps, image annotation, and Databricks workspaces
Support rollout of enterprise-wide AI productivity tools such as Microsoft Copilot
Define, document, and train AI/ML best practices
Build partnerships across Pratt & Whitney Engineering, Digital, Operations, and international sites

Requirements

Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of relevant digital and/or engineering experience; or Advanced Degree in a related field and 5 years of relevant digital and/or engineering work experience
3 years of relevant work experience with Data and AI or otherwise Digital-driven Engineering applications and a combination of production AI/ML modeling, pipelines, system integration and model monitoring
Development and deployment of software systems that integrate one or more AI components
Hands-on experience using LLM-based chat systems (ChatGPT, Gemini, Copilot, etc.)
U.S. citizenship is required
Active Secret Clearance preferred
Professional Certificates for AI and Cloud Applications preferred
Prior knowledge of the aerospace industry preferred
Experience developing, deploying, and maintaining production cloud-based applications using Amazon Web Services or Microsoft Azure preferred
Experience deploying and managing ML on edge devices preferred
Experience developing, deploying, and maintaining Python-based packages or web/API applications preferred
Experience implementing LLM/GenAI, Machine Vision, and Physics Informed Regressions preferred
Experience with TensorFlow or PyTorch preferred
Experience managing AI platforms such as Databricks, MLflow Server, or AWS SageMaker Studio preferred
Experience deploying and managing production ML, including MLOps, and software systems preferred
Engineering experience with multidisciplinary analysis and optimization, including FEA or CFD and optimization, preferred
Disciplined software engineering experience, including automated testing, code reviews, and CI/CD, preferred
Experience navigating export control, legal, cybersecurity, and architectural review compliance processes preferred

Core Competencies

Demonstrates expertise in developing and integrating AI/ML solutions, managing full-stack software systems, and implementing MLOps practices. Proficient in deploying cloud-based applications and optimizing engineering processes within the aerospace industry.

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