AI – Factory - ML Engineer (6-12-months' contract)

• *Employment Type**

Contract (6–12 Months) • *Location**

Cape Town or Johannesburg • *Job Description**

ML Engineer (AI Factory) • *Gig Engineer**

is seeking an experienced • *ML Engineer**

to join the • *AI Factory**

team on behalf of its client. • *Project Background**

The company’s AI platform (often referred to as the • AI Factory*

) is a locally hosted, enterprise-grade AI platform and ecosystem designed to accelerate the adoption and scaling of artificial intelligence by South African businesses. It combines high-performance infrastructure, curated models, and services to help organisations build, integrate, and deploy AI solutions quickly and securely.

The platform is powered by NVIDIA AI technology and hosted in local AI-ready data centres, ensuring compliance with South African regulatory and data sovereignty requirements, a key differentiator for enterprises navigating global AI adoption.

It enables both • Enterprise consumption of AI services (AI-as-a-Service, on-demand models and capabilities) • Organisation-specific AI development (proprietary model development, integration, and scaling)

This blended approach means execution teams will work in a governed, supported, scalable AI delivery ecosystem, using approved models and infrastructure and integrating solutions that deliver real value. The platform emphasises • Data sovereignty and regulatory alignment, with data and compute hosted in South African jurisdictions compliant with local laws. • *AI – Factory - ML Engineer** • Scalable AI infrastructure, including accelerated computing and curated AI models. • Consulting and managed services support, backed by certified AI expertise. • *Role Purpose**

To Design and operationalise data pipelines and retrieval frameworks required to deploy AI solutions in production. • *KEY RESPONSIBILITIES** • Implement approved models into applications • Fine-tuning within defined governance boundaries • Build evaluation pipelines • Implement observability and monitoring • Manage model versioning in production • Optimise performance and latency • *Additional Responsibilities • (if applicable)*** • *COMMUNICATION & WORKING RELATIONSHIPS** • (Optional)* • *Internal Stakeholders:** • *Stakeholder & Purpose of Interaction** • *External Stakeholders:** • *Stakeholder & Purpose of Interaction** • *QUALIFICATIONS, EXPERIENCE & SKILLS** • *Educational Qualifications** • Degree in Computer Science, Information Systems, or related • *Professional Certifications • (if applicable)*** • *Experience**

3–6 years of software engineering; AI integration experience preferred. • *Technical & Functional Skills** • Ownership mindset

• Governance discipline • Analytical rigour • Detail orientation • Continuous learning • *Other Requirements • (if applicable)*** • (E.g., travel, security clearance, work permits, or special conditions.) • *BEHAVIOURAL COMPETENCIES** • (The incumbent is expected to demonstrate the following competencies:)* • *AI – Factory - ML Engineer** • Structured thinking • Stakeholder management • Analytical discipline • Commercial awareness • Clear communication • *Application Process**

Interested candidates can apply directly to the job ad or by submitting their CV and a summary of relevant experience with the role title in the subject line to: • *tavonga@gigengineer.io.**

Depending on the response, we may not be able to respond individually to all applicants; therefore, if you have not received a response within four weeks from your submission date, please consider your application unsuccessful.