Machine Learning Engineer at Hewlett Packard Enterprise

How you will make your mark:

• Design, build, train, evaluate, deploy, and monitor statistical and machine learning models for the Aruba UXI product
• Work with developers, engineers, product managers and cross-enterprise data science teams to build machine learning and AI-Ops capabilities that our customers need
• Identify and communicate opportunities to product and engineering stakeholders and drive selected opportunities to production
• Provide data curation, visualization, analysis and modelling support for business
• Designs enhancements, updates, and develops changes for subsystems and systems.
• Writes and executes complete testing plans, protocols, and documentation for architecture.
• Provides guidance and mentoring to less- experienced staff members.

About you;

• Preferred Masters degree in a scientific, technical or numerical discipline
• 5+ years of experience
• 2+ years using Python        
• Proficient in Python and the Python numerical stack (Numpy, Pandas, Sklearn, Matplotlib, etc)
• Ability to work with multiple data sources to retrieve, combine, clean and preprocess data for modeling
• Experience in building statistical or machine learning models
• Ability to explain models and highlight their advantages and limitations
• Ability to work with developers to deploy models in production
• Experience in developing, deploying and supporting SOA/microservices.
• Excellent written and verbal communication skills.
• Strong analytical and problem-solving skills.
• Our systems use the following technologies, so experience with the following is beneficial but not essential:
• AWS (EC2, S3, Kinesis, RDS, Route53, DynamoDB)
• Google cloud platform
• Clickhouse
• Python frameworks (Django, Flask, FastAPI, SQLAlchemy)
• Design and optimization of relational databases
• Design and implementation of RESTful APIs and microservices
• Terraform
• Kubernetes