Senior AI Engineer [T500-20936]

About Delta Tech Hub :

Delta Air Lines (NYSE : DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

PRIMARY FUNCTIONS (RESPONSIBILITIES) :

As an Senior AI Software Engineer, you will work on initiatives across the entire business; initiatives range from our complex global operation to the digital customer experience. We're looking for someone who is passionate about developing solutions for real-world, large-scale problems using Artificial Intelligence techniques including Generative AI, deep learning, machine learning, reinforcement learning, and CNNs.

WHAT DO YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS) :

• Bachelor’s degree in computer science, data science, or engineering
• 4+ years of work experience in Software Engineering and hands-on exp in Python.
• 3+ years of work / educational experience in Artificial Intelligence / Machine Learning, including experience in implementing classical ML methods, Deep Learning, Reinforcement Learning and CNN (Computer vision)
• 3+ years of experience with ML infrastructure, which includes data processing, model development, model evaluation, model deployment, and debugging.
• Experience with Large Language Model (LLM) frameworks and Natural Language Processing (NLP) approaches such as text classification, sentiment analysis, pattern recognition & Computer Vision / CNN
• Development experience with AI frameworks such as TensorFlow, PyTorch, Keras, Caffe, LangChain, LangGraph, LlamaIndex, AWS Bedrock, scikit-learn
• Experience in developing, training, evaluating, deploying, monitoring, and maintaining scalable production-grade AI solutions on AWS
• Knowledge with Agile Software Development Lifecycles and DevOps / DevSecOps practices

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS) :