Lead AI & ML Engineer

At Delta Air Lines, we are continually looking to embrace new technologies and improve the customer experience. To further this objective, we are seeking an AI software engineer to join the Innovation team. We work on initiatives across the entire businessinitiatives range from our complex global operation to the digital booking experience. We're looking for someone passionate about developing solutions for real-world, large-scale problems using artificial intelligence/machine learning.

Responsibilities:

• Work with a team of engineers and cross-divisionally with our partners to identify and define business problems suitable for artificial intelligence.
• Actively participate in developing a strategy around which frameworks, technologies, and infrastructure our team should use in our proofs-of-concept and pilots for AI solutions.
• Led and worked on team-building proofs-of-concept and prototypes that can be used to demonstrate the impact of artificial intelligence in Delta's various business units.
• Build a set of reusable models/solutions for rapid prototyping.
• Develop an AI-first mindset and help democratize AI for Delta.

Requirements:

• Bachelor's degree in computer science or engineering discipline, or equivalent experience.
• 7-12 years of work/educational experience in machine learning and artificial intelligence.
• Experience with one or more general-purpose programming languages, including but not limited to Java, C/C++, Python, or R.
• Experience with generative AI models and agentic frameworks.
• Significant experience with Python for software development and familiarity with complex methods and nuances of software development in Python.
• Experience with one or more of the following: Natural Language Processing, Computer Vision, Reinforcement Learning, Recommendation Systems, and Audio Processing.
• Development and debugging experience with AI frameworks such as PyTorch.
• Experience with generative AI models and agentic frameworks such as OpenAI's GPT family of models, open-source LLMs, and LangChain.
• Experience and familiarity presenting to technical audiences.