Machine Learning Engineer II

2 Hours ago • 3-6 Years

Job Summary

Job Description

The Machine Learning Engineer II role at Amex GBT involves utilizing AI techniques like machine learning, deep learning, and generative AI to develop mathematical models and algorithms. Responsibilities include solving real-world problems, applying coding and analytical skills, making data-driven decisions, and communicating complex data science topics. The role requires collaborating with a global team and working with large datasets for business insights. The job description also mentions hands-on experience with Python, popular machine learning libraries, and SQL/PySpark. The engineer is expected to have strong communication skills and potentially experience with feature stores and infrastructure (AWS, Kubernetes).
Must have:
  • Experience with AI techniques and large datasets
  • Strong knowledge of Python and machine learning libraries
  • Experience with SQL and PySpark
  • Ability to communicate across business areas
  • Proven ability to conceptualize and solve business problems
Good to have:
  • Experience with feature stores and monitoring dashboards
  • Some infrastructure knowledge (AWS, Kubernetes)
  • Cost-awareness
Perks:
  • Flexible benefits tailored to each country
  • Travel perks from major travel providers
  • Access to over 20,000 courses on learning platform
  • Opportunity to join INclusion Groups

Job Details

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.

What You’ll 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.

What We’re Looking For:

  • 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.

  • 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 libraries and frameworks 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.

     

Location

Gurgaon, India

     

The #TeamGBT Experience

Work and life: Find your happy medium at Amex GBT.

  • 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.

  • 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!

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.

Click Here for Additional Disclosures in Accordance with the LA County Fair Chance Ordinance.

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 the Amex 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;" please apply anyway. You may be exactly the person we’re looking for!

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