Machine Learning Engineering/Developer

7 months ago

Sydney, Australia Correlate Resources Full time

Exciting opportunity for machine learning professionals to work on cutting edge projects

  • Opportunity to Work on cutting edge technology

  • Lucrative opportunity in an innovative Data Science environment

  • Machine Learning & Engineering

Machine Learning Engineer/Developer

We’re an innovation business that brings together the brightest minds in e-commerce, technology, media and data to transform the way people live and shop. We’re here to create better everyday experiences for our customers. In the big picture, and the fine detail. In moments big and small. We’ve worked together with our partners to create all kinds of initiatives you know and love.

Role Details:
Swift execution of Big Data processing, Machine Learning and ML Ops best practice on terabytes of data from the largest Australian retail is what this role is about. Working as part of the ML Development chapter and closely collaborating with Data Scientists, be prepared to build Cloud based cutting edge ML platforms, pipelines and experiment with Big Data and ML tech available on the market.

The team has a culture of its own, which involves an innate desire to do things differently trying to find the best solution for business needs and push tech to the limit. No matter how experienced you are, be prepared to learn a lot
The primary goal of this role is to help design and build a state of the art Machine Learning Platform working collaboratively with Data Scientists and other ML developers.

The role will report to a Machine Learning Chapter Lead.

Key Responsibilities:

● Design and implementation of Big Data and Machine Learning platforms, pipelines
and tooling

● Grow ML chapter capability through pioneering new tech and approaches to improve
time to market, reliability and performance of Data Science products
Minimal Requirements:

● Bachelor or above degree in Computer Science or equivalent

● 1+ years of commercial software development experience

● 1+ years of hands on experience in Python and SQL

● Hands-on Linux

● Solid knowledge of data structures and algorithms

● Practical experience with ML algorithms, techniques and packages

● Good communication and stakeholder management skills

Ideal candidate:

● Data Engineering experience

● Kubernetes (Argo/Kubeflow) experience

● Experience in building and running Docker images

● Cloud (GCP/AWS/Azure) commercial experience or associate level of certification

● Good ML Ops, SRE or DevOps experience

For more information please feel free to contact kif@correlateresources.com

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