Software Engineer - Data Scientist AI ML This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work We help companies connect protect analyze and act on their data and applications wherever they live from edge to cloud so they can turn insights into outcomes at the speed required to thrive in today s complex world Our culture thrives on finding new and better ways to accelerate what s next We know varied backgrounds are valued and succeed here We have the flexibility to manage our work and personal needs We make bold moves together and are a force for good If you are looking to stretch and grow your career our culture will embrace you Open up opportunities with HPE What you ll do BS MS in Computer Science or Data Science Electrical Engineering Statistics Applied Math or equivalent fields with robust mathematical background General understanding of machine learning techniques and algorithms including clustering anomaly detection optimization Neural network Graph ML etc Experience building data science-driven solutions including data collection feature selection model training post-deployment validation Strong hands-on coding skills preferably in Python processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy ScikitLearn MLlib Tensorflow Works well in a team setting and is self-driven What you need to bring Desired Experience Experience with some equivalent AWS Flink Spark Kafka Elastic Search Kubeflow Knowledge with NLP technology Demonstrable problem-solving ability Conceptual understanding of system design concepts Responsibilities Collaborate with team to understand feature work with domain experts to identify relevant signals during feature engineering deliver generic and performant ML solu