Machine Learning Engineer

Machine Learning Engineer

Johannesburg

Permanent

An entrepreneurial, and forward-thinking company specialises in utilizing geospatial data and technologies to help clients enhance their operational efficiencies and increase profitability. They offer tailored data, insights, and innovative products across various industries, aiming to convert raw data into practical business insights. With expertise spanning over two decades in spatial and telematics domains, they serve sectors like fleet management, logistics, retail, advertising, the public sector, and more. They value partnerships highly, focusing on collaborative relationships to advance the field of geospatial intelligence.

The company has a number of products and companies under its umbrella, creating and building new products and solutions. The team would like to attract energetic, passionate individuals committed to growing with them.

You will join an R&D team and work with them to design new spatial and data related products and services with and for their clients. This is an unusual position and will take a product minded individual with varied skills who is passionate about problem solving, solutioning.

It is required that the individual have some background, studies or working experience in GIS technologies.

REQUIREMENTS

Computer Science, Informatics, IT, Stats Degree/ Diploma

Min 2-4 years experience

Familiarity with Linux

Cloud services (Azure, GCP, Huawei)

Skills that support the environment, the team primarily works within: Python, JavaScript/TypeScript, SQL esp PostgreSQL or PostgreSQL compatible

Platforms we use: Jupyter family of tools; PowerBI; Google Big Query

Geospatial knowledge

Client management skills you will be dealing with our clients

Portfolio of data science projects that you have worked on and can describe

Exposure to ML techniques and toolkits desirable

Advanced Geospatial Analytics skills, especially utilising SQL

Experience in designing data pipelines and data analytics projects.

Working in the product space building and developing products you will need to be able to look for opportunities to simplify product & technical design as well as understand spatial-temporal analytics problems of specific domains such as retail and others

These Skills would be a major advantage:

Text processing especially similarity matching,

Spatial-temporal reasoning

Curiosity and sense of experimentation

Geospatial SQL

PySAL familiarity - geospatial statistics techniques

Geospatial AI

AI/ML

Model selection

RAG, Vector databases, generation of embeddings

Ability to design and test appropriate ML models, apps and deployments