Machine Learning Engineer II

🕒 April 1

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American Express Global Business Travel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2014

🤝 B2B

🚗 Transport

☁️ SaaS

B2B • Transport • SaaS

American Express Global Business Travel is a company providing comprehensive corporate travel management services. It offers technology-driven solutions to help businesses manage and optimize their travel programs efficiently, providing a range of services including booking, travel policy compliance, expense management, and reporting. The company supports clients worldwide, catering to a diverse range of languages and cultural needs, and is aimed at enhancing business travel experiences through innovation in the travel industry.

📋 Description

• 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. • Employ statistical and data science methods to make data-driven decisions. • Manipulate large data sets for business insights and drive actionable solutions. • Utilize appropriate methods and approaches to develop practical solutions for the business. • 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. • Collaborate with a global team across different continents to achieve project goals.

🎯 Requirements

• 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. • 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. • Understanding 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, modeling, offline evaluation, online evaluation, and monitoring. • Strong knowledge of hands-on practice in Python. • Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow. • Experience with MLFlow, AWS SageMaker and Bedrock is preferred. • Familiar with MLOps concept. • Comfortable with data cleansing using SQL and PySpark. • 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.

🏖️ Benefits

• health and welfare insurance plans • retirement programs • parental leave • adoption assistance • wellbeing resources to support you and your immediate family • travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals • access to over 20,000 courses on our learning platform • leadership courses • new job openings available to internal candidates first. • champion Inclusion in every aspect of our business