Machine Learning Engineer

Ikue Limited; Gauteng; Remote; ZAR 500 000 - 750 000; Full time

Job summary

A telecommunications technology startup is seeking a Machine Learning Engineer to design and construct AI pipelines. Responsibilities include building machine learning models and ensuring data pipelines are reliable. Candidates should have a BSc in Computer Science or Engineering and advanced skills in Python, Spark, and SQL. The work model is remote, and team members thrive in a dynamic environment.

Benefits

Diverse and professional environment

Dynamic and motivated team

Freedom to grow within the team

Qualifications

• 3+ years of working experience as a Machine Learning Engineer.
• Experience deploying and maintaining common machine learning models.
• AWS Associate Developer certification preferred.

Responsibilities

• Design and construct Ikue's AI Studio.
• Integrate machine learning outputs into data pipelines.
• Ensure machine learning and data pipelines are monitored.

Skills

Python

Spark

SQL

Education

BSc Computer Science or Engineering

Tools

AWS ECS

Sagemaker

Job description

Overview

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.

There are no typical profiles, each and every team member shares our vision and wants to be part of its success.

Responsibilities

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)

Benefits

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 andSagemaker preferable)

AWS Associate Developer certification (Machine Learning Specialty preferable)

Excellent problem solving and analytical skills

Strong communication and collaboration abilities