Required Experience
5 years of Engineering experience and Computer Science degree or related
Knowledge of various supervised and unsupervised machine learning algorithms using Python or Java
In-depth knowledge of ML frameworks like TensorFlow, Scikit-learn, PyTorch, Keras, etc.
Good knowledge of data structures, data modelling and feature extraction
Should know usage of Jupyter notebook
Model training on Sagemaker, Vertex AI, or similar
Job Description
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
Work with 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
Work closely with 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