About the role
Intro
Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!
Why you'll love this job
The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from and make predictions or decisions based on data. This domain is generally a subset of the AI or Data Domain. Scope includes various subfields, including segmentation, propensity modeling, natural language processing (NLP), reinforcement learning, and working with foundation models for generative AI, agentic AI, and low-code AI solution development.
What you'll do
As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
Troubleshoot and debug complex issues; identify and implement solutions
Create detailed project specifications, requirements, and estimates
Research and implement new AI technologies to enhance current processes, security, and performance
Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment
Implement and optimize Python-based ML pipelines for data preprocessing, mod…
