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
