American Express Senior Engineer - Machine Learning in Jefferson City, Missouri
American Express is embarking on an exciting transformation driven by a high-energy newly formed Machine Learning team of high performers that is looking to build the next generation platform for democratizing Machine Learning in Amex on the Cloud. This group is nimble and creative with the power to craft our technology and product roadmap. As a Senior Engineer in our Machine Learning team, you will be responsible for building and delivering technical solutions and capabilities on the platform to support our entire ML-driven application portfolio across the enterprise. You will be challenged with identifying creative ideas and proof of concepts to deliver against the existing and future needs of our customers. As a Senior Engineer, you will play a key role in the understanding of product owner strategy and collaborate with peers and technology partners to translate complex user stories into successful product releases. If you have the talent and desire to deliver innovative products and services at a rapid pace, serving our customers seamlessly across through cognitive solutions, this would be the right fit for you!
Your responsibilities would include: * More than 70% of the time spent on coding and/or hands-on technical implementation of re-usable frameworks to drive adoption of Machine Learning in the Enterprise * Collaborate with product/business management and engineering departments to understand company needs and devise possible solutions. * Leading your own project. Suggest, collect and synthesize requirements. Create an effective roadmap towards the deployment of a production-level machine learning application. * Architecting, estimating and planning technical solutions to problems * Research and develop statistical learning models for data analysis * Implement new, 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, Results Prediction and Time Series predictions Actively participate in team and company-wide architecture and engineering discussions and forums.
/Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions./
To be successful in the role, the following experience is required: * At least 5 years of dynamic experience with a broad set of tech stacks, hands-on Machine Learning and Big Data is mandatory as part of the job * Deep expertise in building scalable Machine Learning powered applications * Experience with production grade applications. Ideally with an application that demonstrates Machine Learning to power its decisions * Highly motivated, individual contributor who can manage relationships in a cross-functional environment. * Proven track record of working with multiple stakeholders * Extensive background in data mining and statistical analysis * Excellent pattern recognition and predictive modeling skills * Experience in creating and managing capabilities and solutions for: o Customer segmentation o Product sales and service offer prediction o Risk analytics and regulation o Usage and Alert from real time data o Customer complaint resolution o Consumer feedback and interaction analysis * Familiarity and experience with Cloud is a plus. Quantitative and Software Development Skills * Master of Science or higher in a quantitative discipline, e.g. Data Science, Statistics , Mathematics, Computer Sciences or similar Bachelor of Science with 5 years of experience in a highly quantitative position * High proficiency with the following technologies: + Spark, SparkML + Python + Big Data + SQL / noSQL + Java + Web Frameworks : Flask, Django + Git and GitHub * Modeling proficiency: + Linear models & descriptive statistics + Natural Language Processing + Bayesian Inference + Decision Tree Models & Boosting + Advanced time series forecasting + Linear Algebra & Spectral Methods + Deep Learning / Tensorflow / Keras + Reinforcement Learning * Have the ability to design or evaluate intrinsic and extrinsic metrics of your model’s performance which are aligned with business goals. * Performing hands-on software and strategy development, typically spending most of the time actually writing code, doing proof of concepts and conducting code reviews * Developing deep understanding of integrations with other systems and platforms within the supported domains. * Working with technical product managers contributing to blueprints, and assisting needs and predicting of feature sets * Quickly generate and updating prototypes from concept to testing while soliciting feedback * Finalizing prototypes into functional ML components and deploy on our cloud platform * Embrace emerging standards and promoting best practices Leadership Skills: * Demonstrate self-reliance to achieve goals collaboratively * Be curious, hardworking and detail-oriented, and motivated by complex analytical problems. * Thought leadership and innovative thinking Please note, salary increases in case of a lateral move are provided only on an exception basis and in line with compensation guidelines.
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Title: Senior Engineer - Machine Learning
Location: MO-Jefferson City
Other Locations: US-Florida-Sunrise
Requisition ID: 18011607