Machine Learning Engineer II

7 days ago

Schiller Park, United States NLP PEOPLE Full time

Amex GBT is a place where colleagues find inspiration in travel as a force for good and through their work can make an impact on our industry. Were here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Amex GBT / Egencia is at the center of revolutionizing business travel with our cutting-edge technology and the most desirable products in the industry. We have grown from a small start-up to become the 4th largest corporate travel management company in the world and got acquired by the 1st. We are looking for a Machine Learning Engineer II / Data Scientist II who will be working with big data and applying sophisticated AI techniques in a lively and stimulating environment. Your insights will be used to improve customer acquisition and engagement, deliver an outstanding product and shopping experience, and better understand customer behavior. The teams responsibilities span data integration supporting customers and internal business areas and ML/LLM deployment. What Youll Be Doing: Utilize AI techniques, including machine learning, deep learning, generative AI, and statistical modeling, to develop and implement mathematical models and algorithms for solving real-world problems such as ranking, chatbot, intent recognition, 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 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. Company: Amex GBT Qualifications: 6 years of experience with a bachelors degree or equivalent, or 3 years with a masters degree or equivalent. Proven ability to conceptualize business problems and solve them through data science solutions. 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, and evaluation. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Basic understanding of LLMs, guardrails, and RAG. Strong knowledge of hands-on practice in Python. Familiarity with popular machine learning frameworks and libraries such as scikit-learn, Hugging Face, PyTorch, and TensorFlow. Comfortable with pulling and manipulating data 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, data science as an API service, and monitoring dashboards is a plus. Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness is a plus. Level of experience (years): Senior (5 years of experience) Tagged as: Bayesian Methods , Big Data , Clustering , Industry , Machine Learning , United States J-18808-Ljbffr

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