Machine Learning Engineer
Last checked 3 hr ago on Himalayas.
Salary not listed. Got an offer? See what it is in rand after SA tax →
Apply on Himalayas → View original listing on Himalayas
Good luck with your application! RandSwitch Jobs is free for SA job-seekers, with no sign-up and no paywall. If it helped, buy EasyGov a coffee ☕ (opens Ko-fi).
Not quite the one? Get the week's best SA-friendly remote dev roles in your inbox. Join the weekly email, one email a week, no spam.
RandSwitch Jobs is free to use. If it helped your search, buy EasyGov a coffee on Ko-fi ☕.
This job was first published on Himalayas. Check the original posting to confirm you're eligible from South Africa.
Let's build the future together!
Ikue is a tech start-up with a clear purpose and vision - to provide
telecommunications operators with a superior product to deliver superior
customer experiences.
We know that Customer data is at the heart of hyper personalisation and are
looking for the brightest, most inspiring engineers to deliver our product which
enables data to drive every decision, every communication, and every
customer interaction.
We are building a diverse team, all unified by a desire to unleash the data needed
by marketeers. Creativity is at the core of Ikue and is something we are looking to
further strengthen in 2022! There are no typical profiles, each and every team
member shares our vision and wants to be part of its success.
As a Machine Learning Engineer at Ikue you will:
Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
Integrate machine learning outputs into real-time and batch data pipelines
Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)
You will be rewarded with:
You will become part of an international environment that embraces diversity and professionalism
A dynamic and motivated team, with a good sense of humour
Freedom to take responsibility, grow within the team and ALSO
Working in a fast-forward company
Remote work model
Requirements:
BSc Computer Science or Engineering
3+ years working experience as a Machine Learning Engineer
Advanced skills developing in Python, Spark, SQL
Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS and Sagemaker preferable)
AWS Associate Developer certification (Machine Learning Speciality preferable)
Excellent problem solving and analytical skills
Strong communication and collaboration abilities
Originally posted on Himalayas
Get new SA-friendly remote jobs (tech, finance, support, admin) by email.
Pay in rand. Unsubscribe anytime.