Machine Learning Engineer

3 weeks ago


Phoenix, United States Insight Global Full time

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


Day-to-Day

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



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