American Express Careers

Senior Machine Learning Engineer

Sunrise, Florida
Digital Commerce Technology

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Job Description

Why American Express?
 
There’s a difference between having a job and making a difference.
 
American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.
 
We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.
 
Because we believe that the best way to back our customers is to back our people.
 
The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.

If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide. There are hundreds of opportunities to make your mark on technology and life at American Express.

 

American Express is embarking on an exciting transformation on building the next generation customer first ecosystem for democratizing Machine Learning in Amex on the Cloud. You will be part of an energetic Data Science/Machine Learning team, to drive strategic planning and a cohesive set of technology and machine learning solutions enabling data and platform transformation, by collaborating across all channel teams and the critical technology platforms that support Colleague and Customer Experiences. This position provides an opportunity to solve very interesting problems that directly and greatly impact millions of individuals worldwide. If you have the talent and desire to deliver innovative and intelligent products as well as services at a rapid pace, serving our colleagues and customers seamlessly across through cognitive solutions, this would be the right fit for you!

 

American Express has a fresh, fun, collaborative, and creative environment in the new regional headquarters campus— a rare find in Miami area.


Responsibilities:
  • Regularly engage with business teams to understand their needs, implement prototypes as well as productionalize Machine Learning models
  • Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide
  • Not only creating ML model prototypes, but also putting them into production in scale
  • Challenge the way we do business through application of technology and machine learning solutions to integrate insights in the operational workflow 
  • Be part of a dynamic team and play a visible role in implementing cutting-edge technology and machine learning solutions with other industry-leading partners
  • Work with large, complex data sets to build products and tools that enhance colleague and customer experiences
  • Implement highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
  • Design, code, train, test, deploy and iterate on large scale machine learning systems
  • Work with Engineering, Analytics, and Data Science experts to strive for greater functionality in technology ecosystem
  • Help craft the direction of machine learning and artificial intelligence at AmEx

Qualifications

  • Master’s degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related fields.
  • Advanced knowledge and 3+ years in one of the following:
    • Linear models & descriptive statistics
    • Machine Learning
    • Deep Learning
    • Reinforcement Learning
    • Natural Language Processing
    • Optimization
    • Probabilistic Inference
    • Information Retrieval
    • Recommendation Systems.
    • Bayesian Inference
    • Advanced time series forecasting
  • Strong analytical skills and algorithmic problem solving skills.
  • 2+ years of relevant work experience with data science/machine learning
  • 3+ years hands-on experience with SQL, and Python/Java
  • 3+ years of hands-on experience with machine learning package such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon etc.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience supporting and working with cross-functional teams in a dynamic environment

Preferred Qualifications:

  • PhD degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related fields.
  • Expert in one of the following:
    • Linear models & descriptive statistics
    • Machine Learning
    • Deep Learning
    • Reinforcement Learning
    • Natural Language Processing
    • Optimization
    • Probabilistic Inference
    • Information Retrieval
    • Recommendation Systems.
    • Bayesian Inference
    • Advanced time series forecasting
  • 3+ years hands-on experience with Advanced SQL, and Python/Java
  • 3+ years developing and deploying machine learning solutions in a production environment, and/or produced outstanding research results (Journal and/or Conference publications)
  • Expert in one of the machine learning packages such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon etc.
  • Direct involvement in working with large volumes of data and building, deploying and measuring
  • Experience with data pipeline and workflow management tools: Apache NiFi, Informatica, Talend, DataStage, Alteryx, etc. is a plus
  • Hands-on experience with GCP, AWS, Hadoop Ecosystem, Spark is a plus.
  • Experience with relational SQL and NoSQL databases: Redshift, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, DataStaX, etc. is a plus
  • Knowledge of / experience with multi/cross/omni-channel CX is a plus

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.



ReqID: 19011704
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Jul 10, 2019, 1:17:35 PM
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