AI Engineer

The Vocation Station; Wes-Kaap; Remote; ZAR 300,000 - 400,000; Full time

Job summary

An innovative tech company is seeking an AI Engineer to transform business operations with AI solutions. The role involves designing and implementing AI strategies, developing scalable ML models, and collaborating in Agile teams. Ideal candidates will have 2–5 years of experience in AI/ML, proficiency in Python, and familiarity with tools like Databricks and Azure ML. This is a remote position with a competitive salary package in South Africa.

Benefits

Competitive salary package

Remote work

Quarterly travel to George

Exposure to cutting-edge AI projects

Agile team environment

Qualifications

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools.
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills.

Responsibilities

• Develop AI strategies and roadmaps aligned to customer goals.
• Architect secure, scalable AI systems, integrating frameworks and cloud environments.
• Build and optimize ML models and workflows.
• Operationalize AI solutions using MLOps best practices.
• Monitor, retrain, and optimize models for ongoing improvement.
• Work within Agile teams.

Skills

AI/ML models

Databricks

Azure ML

Python

TensorFlow

PyTorch

Scikit-Learn

MLOps practices

Docker

Kubernetes

Job description

Overview

Cape Town | Full-Time | Remote

R85 000 – R110 000 per month

Quarterly travel to George

Build AI Solutions That Deliver Real-World Impact

We’re seeking an AI Engineer to join an innovative team that’s transforming how businesses design, deploy, and scale AI solutions. This is a role where technical skill meets practical application – helping organizations harness AI to improve operations, performance, and outcomes.

If you have a solid foundation in AI/ML engineering, enjoy building scalable workflows, and are passionate about operationalizing AI in real-world environments, this could be your next career step.

What You’ll Bring

• 2–5 years’ experience building and implementing AI/ML models.
• Hands-on expertise with Databricks, Azure ML, or equivalent tools.
• Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Practical knowledge of MLOps practices and tools (Docker, Kubernetes, CI/CD).
• Strong problem-solving mindset and ability to align technical solutions with business outcomes.
• Excellent communication and collaboration skills for working across technical and non-technical teams.

What You’ll Be Doing

• Define: Develop AI strategies and roadmaps aligned to customer goals, co-create proposals, and ensure technical and business alignment.
• Design: Architect secure, scalable AI systems, integrating frameworks, data platforms, and cloud environments (Azure, AWS).
• Develop: Build and optimize ML models and workflows for ingestion, training, validation, and evaluation; create scalable pipelines.
• Deploy: Operationalize AI solutions using MLOps best practices with tools like Databricks, Azure ML, Kubernetes, and Docker.
• Deliver Continuously: Monitor, retrain, and optimize models, incorporating live data and feedback for ongoing improvement.
• Collaborate: Work within Agile (Scrum) teams, maintaining code quality, documentation, and alignment with stakeholders.

What’s on Offer

• A competitive salary package based on experience.
• Remote role (South Africa), with preference for Cape Town-based candidates.
• Quarterly travel to George for team collaboration.
• Exposure to cutting-edge AI/ML projects across industries.
• Opportunities to work with global cloud platforms and advanced tools in a supportive, Agile team environment.

If you’re ready to turn AI into solutions that deliver real business value, we’d love to hear from you.

Apply today and be part of a team building the future of AI engineering.