Machine Learning Engineer

Key Skills

AIOps, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), AWS, Data science techniques, Design, Django, DynamoDB, Effective communication skills, FastAPI, Flask, Kubernetes-K8s, Machine learning techniques, matplotlib, NumPy, Pandas, Python Programming, Terraform

Job Description

Our product gives IT managers insight into how their users are experiencing Wi-Fi, network, and application performance, and helps them fix problems before users complain. Other performance tools are complex and intimidating, built by network engineers for network engineers; ours is beautiful and simple, and our customers love it. Our sensor hardware is a delight to install and our software is easy and fun to use. Our product is used in offices, universities, banks, hotels, airports, stadiums, retail stores, and more - every business with Wi-Fi is a potential customer that we can help.

We design all our own hardware and software in Cape Town. Our software systems are built entirely in-house using Python, React, Postgres, Clickhouse, a variety of AWS services, and other technologies. We are truly a full stack company, with a great set of technical challenges to work on.

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

 Southafrica, aruba

Additional Skills:

Cross Domain Knowledge, Design Thinking, Development Fundamentals, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.