Senior Machine Learning Engineer Manager

Amex GBT is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We’re a global, product-focused AI team with hubs in Bellevue, Chicago, Paris, London, Gurgaon, and now extending to Manchester. Since 2017, we’ve been delivering AI systems at scale – from ranking models and savings optimization engines to client-facing LLM-powered experiences used by business travelers worldwide.  

What You’ll Do

• Grow and lead a high-performance multidisciplinary machine learning engineer team.  

• Cultivate a collaborative and innovative team culture.  

• Actively monitor the development of generative AI and machine learning algorithms in the commercial market, as well as the advancement in the research community.   

• Provide guidance to the team on the AI solution design and development, including machine learning, deep learning, generative AI, and statistical modelling, to develop and implement solutions for tackling real-world problems such as ranking, chatbot, intent recognition, flight modification agents, recommender systems, computer vision, NLQ etc.  

• Collaborate closely with product managers, cross function developers, and business stakeholders from ideation, prototyping to production and evaluation.  

• Provide mentorship with strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into practical functional solutions.  

• Plan and manage team capacity and budgeting, balancing product roadmap delivery, platform investments, and technical debt; make trade-offs explicit with Product and partner teams 

• Structure work, frame issues, and produce analyses/ML models/Compound AI systems that answer complex business questions in a pragmatic approach.  

• Communicate complex data science topics in a clean & simple way to multiple partners and senior leadership.  

• Lead AI and machine learning initiatives and ensure the deliveries with structured framework. 

What We’re Looking For

• 10+ years of experience with a bachelor’s degree or equivalent, or 7+ years with a master’s degree or equivalent.

• Proven experience in growing and manage a high-performance machine learning engineer team.  

• Experience in workflow improvement, mentoring and people management. 

• Proven ability to conceptualize business problems and solve them through data science solutions.   

• Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods.   

• Good understanding of LLMs, guardrails, RAG, agentic AI.  

• Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry experience in leveraging AI techniques on real-world large data sets.  

• Strong knowledge of the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, feature engineering, data structures for ML, data pipelining, modelling, offline evaluation, online evaluation, and monitoring.  

• Strong knowledge of hands-on practice in Python ranging from data cleansing to model building and improvement. Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow.  

• Good written and oral communication skills, including the ability to communicate across business areas and increase overall knowledge across the organization.