Senior Machine Learning engineer (Python, Azure databricks, Devops, Pyspark/ SPARK, Github, MLE models, Tensorflow)

Responsibilities

The Senior Machine Learning Engineer will be involved with various data engineering aspects – data collection, cleaning, and preprocessing, to training models and deploying them to production. They will analyze ML algorithms to solve problems, rank them by success probability, explore and visualize data to gain insights, verify data quality, define validation strategies, and define preprocessing or feature engineering. The role involves training models, tuning hyperparameters, analyzing model errors, designing strategies to overcome them, deploying models to production, and working independently and collaboratively on a multi-disciplined project team in an Agile development environment. They will also provide feedback to development teams on code/architecture optimization and be actively involved in the design, development and testing activities for Big data products.