Machine Learning Engineer II

We are looking for a Machine Learning Engineer II to join our Product AI Engineering team. You will help us design, build, and optimize intelligent systems. This is not just a modeling role, you’ll own the full lifecycle: from raw data to deployed models / compound systems to measurable business impact. If you’re passionate about solving real-world problems at scale, collaborating across disciplines, travel, and making AI systems that truly matter – this is for you.
Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement solutions for tackling real-world problems such as ranking, chatbot, intent recognition, agentic AI systems, recommender systems, computer vision, NLQ etc.

Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions. 6+ years of experience with a bachelor’s degree or equivalent, or 3+ years with a master’s degree or equivalent. 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.  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 hands-on practice in Python. Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and Tensor Flow.

Experience with MLFlow, AWS Sage Maker and Bedrock is preferred.

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

Experience with feature stores, machine learning models as service, and monitoring dashboards is a plus.

Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness are a plus.
* ** Travel perks:
** get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals.
* ** Develop the skills you want
** when the time is right for you, with access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first.
* ** We strive to champion Inclusion
** in every aspect of our business at Amex GBT. You can connect with colleagues through our global INclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action.
* And much more!
** Flexible benefits
** are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and wellbeing resources to support you and your immediate family.
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