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A division of Raytheon Technologies, Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines, auxiliary and ground power units, and small turbojet propulsion products.  Founded by Frederick Rentschler in Hartford, Connecticut, in 1925, Pratt & Whitney’s first aircraft engine transformed the aviation industry. It was the innovative air-cooled Wasp, which delivered unprecedented performance and reliability for the time. Pratt & Whitney has been a leading innovator in aircraft propulsion and power systems ever since.

Pratt & Whitney is working to transform the future of flight once again designing, building, and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country, or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

What You Will Do *

• Assist in data collection, cleaning, and preprocessing for machine learning tasks. 

• Implement and optimize machine learning and deep learning models. 

• Participate in research and experiments on new AI/ML algorithms. 

• Support the development of AI-powered applications and tools. 

• Collaborate with cross-functional teams to understand project requirements and deliver solutions. 

• Document work and maintain code repositories

What You Will Learn

How data in a customer organization can be put to use across the value chain.

• Hands-on experience with real engines viz a viz- AI/ML projects. 

• Exposure to data pipelines, model training, and deployment workflows. 

• Mentorship from SME on engines

Qualifications You Must Have *

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, Electrical/Computer Engineering, or related field. 

Qualifications We Prefer

• Strong programming skills in Python (knowledge of libraries like NumPy, Pandas, scikit-learn, TensorFlow, PyTorch). 

• Understanding of core machine learning concepts (supervised/unsupervised learning, neural networks, NLP, computer vision, etc.). 

• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly) is a plus. 

• Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a bonus. 

• Good problem-solving skills, self-motivation, and eagerness to learn.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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