Machine Learning Engineer III

Company: American Express Global Business Travel
Location: Chicago
Posted on: November 19, 2024

Job Description:

Machine Learning Engineer III
Apply locations: Chicago, Illinois, United States
Time type: Full time
Posted on: Posted Yesterday
Job requisition id: J-70640
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. We're 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 getting acquired by the 1st. We are looking for a Machine Learning Engineer III / Data Scientist III who will be working with big data and applying sophisticated analytics 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 team's responsibilities span data integration supporting customers and internal business areas and ML deployment. We are looking for a talent with different skill sets, a passionate technologist dedicated to solving real-world business problems; to lead the excellence of ML/AI engineering practice.
What You'll Be Doing:

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• Apply advanced analytic techniques such as machine learning, data mining, and statistical modeling to design and implement mathematical models and algorithms to solve real-world marketing problems.
  
• Apply solid coding skills, strong analytical and innovative thinking, and Artificial Intelligence/ML expertise to quickly learn new domains and turn innovative ideas into working solutions.
  
• Use Statistics and Data Science techniques to make decisions based on data.
  
• Manipulate large data sets for business insights and drive solutions.
  
• Utilize appropriate methods and approaches to develop practical solutions for the business.
  
• Structure work, frame issues, and produce analyses that answer complex business questions in a pragmatic approach.
  
• Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership.
  
• Have some infrastructure knowledge (AWS, Kubernetes), cost-awareness would be a plus.
  
  What We're Looking For:
  
  • 
    
  • 8+ years for bachelor's or equivalent, 6+ years for master's or equivalent
    
  • Ability to conceptualize business problems and solve them through data analysis. Comfortable with pulling and manipulating data using SQL, PySpark.
    
  • Good written and oral communication skills, including an ability to communicate across business areas.
    
  • Ability to increase overall knowledge across the organization.
    
  • Familiarity with one or more machine learning or statistics tools such as R, Stata, Python and various libraries for other programming languages.
    
  • Understand the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, data integration, data structures for ML, data pipelining, data modeling, and AI/ML algorithms; strong data science knowledge and skills.
    
  • Industry experience on leveraging Statistics and Data Science on real-world large data sets.
    
  • Knowledge of hands-on practice in Python and R.
    
  • Proven knowledge of ML techniques such as Operations Research, Bayesian methods, clustering, decision trees, random forests, NLP, etc., excellent grasp of statistical concepts and methods.
    
  • Strong passion for solving problems and finding patterns and insights within structured and unstructured data.
    
  • Have some experience with Sagemaker or equivalent, Databricks, feature store, dashboards and so on.
    
  • Have some basics around LLM, guardrails, observability, RAG.
    
    Location: Chicago, Illinois, United States
    The US national annual base salary range for this position is from $60,000 to $120,000. The national range provided includes the base salary that Egencia expects to pay for the role. Actual base salary will be based on factors including the scope and complexity of the role and the successful candidate's relevant experience, skills, knowledge, and work location.
    In addition to base salary, this role is eligible for an annual Performance Based Incentive, which rewards participants based on company performance. For information about our comprehensive US benefits programs and eligibility, please review our Benefits-at-a-Glance document.
    The #TeamGBT Experience
    
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    • 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 more.
      
    • 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 global tuition assistance, 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 Diversity, Equity, and Inclusion in every aspect of our business at 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.
      
    • Wellbeing resources to support mental and emotional health for you and your immediate family.
      
    • And much more!
      
      This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies.
      All applicants will receive equal consideration for employment without regard to age, sex, gender (and characteristics related to sex and gender), pregnancy (and related medical conditions), race, color, citizenship, religion, disability, or any other class or characteristic protected by law.
      Furthermore, we are committed to providing reasonable accommodation to qualified individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the hiring process. For details regarding how we protect your data, please consult GBT Recruitment Privacy Statement.
      What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;
      #J-18808-Ljbffr

Keywords: American Express Global Business Travel, Gary , Machine Learning Engineer III, Engineering , Chicago, Indiana