Job Title

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): Master’s degree in computer science, Mathematics, Artificial Intelligence, or a related field Experience with distributed computing approaches such as Spark (Good to have) Experience collaborating with business teams, understanding their objectives, and working with them to make their objectives a reality by building AI solutions Ability to work with teams distributed across multiple time zones to drive AI projects