Senior Machine Learning Engineer

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way.

When you join Team Amex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. Here, you’ll learn and grow as we champion your meaningful career journey with programs, benefits, and flexibility to back you personally and professionally. Every colleague shares in the company’s success.

Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to our customers, communities, and each other every day. And, we’ll do it with integrity and in an environment where everyone is seen, heard and feels like they truly belong.

Join #TeamAmex and let’s lead the way together.

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!

Responsibilities:

• More than 70% of the time spent on coding and/or hands-on implementation of re-usable frameworks to drive adoption of Machine Learning in Amex
• Combine Data Science and Engineering skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide
• Not only crafting 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 ground breaking technology and machine learning solutions with other industry-leading partners
• Works with large, complex data sets to build products and tools that enhance colleague and customer experiences
• Implement highly scalable platform components and tools using 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
• You will be part of a Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems
• You will work with Engineering, Analytics, and Data Science experts to strive for greater functionality in technology ecosystem
• You will help craft the direction of machine learning and artificial intelligence at AmEx

Minimum Qualifications:

• Master or PhD degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, or related fields.
• Strong analytical skills and programming skills, in production environment.
• 2 years hands-on experience with the following technologies:
• SQL/ NoSQL
• Python, and/or Java
• Big Data
• Once of the popular Machine Learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon etc.
• RESTAPI and services
• 2 years of experience in specialized areas such as Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with multi -functional teams in a dynamic environment

Preferred Qualifications:

• Deep expertise in building scalable Machine Learning powered applications
• 3 years hands-on experience with the following technologies:
• SQL/ NoSQL
• Python, and/or Java
• Big Data
• One of the popular Machine Learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe, Gluon, RESTAPI and services, etc.
• Expert in specialized areas such as Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems.
• Direct involvement in working with large volumes of data and building, deploying and measuring in production environment
• 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.
• Hands-on experience with relational SQL and NoSQL databases: Redshift, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, DataStaX, etc. is a plus

We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

If the role you are applying for is designated as hybrid or onsite, you will be required to demonstrate that you have completed your primary COVID-19 vaccination series (i.e., 2 doses for Moderna/Pfizer and 1 dose for J&J) in order to work in or visit any of our offices. This requirement is subject to legally required accommodations.

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Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

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