Machine Learning Engineer (Senior-Level)

iOCO Pty Ltd; Cape Town; On-site; ZAR 700 000 - 1 000 000; Full time

Job summary

A leading technology firm in Cape Town is seeking a Senior Machine Learning Engineer to lead ML project lifecycles and mentor junior engineers. The ideal candidate has over 5 years of experience in ML model design, deployment, and optimization, and is skilled in collaborating with cross-functional teams. This role involves the design of advanced ML systems to solve complex business challenges.

Qualifications

• Minimum of 5 years' experience as a Machine Learning Engineer.
• Strong expertise in ML model design, deployment, and optimization.
• Proven ability to lead ML projects and collaborate across technical and business teams.

Responsibilities

• Lead the end-to-end lifecycle of ML projects, including data preparation, model training, deployment, and monitoring.
• Collaborate with cross-functional teams to integrate ML solutions.
• Mentor and provide technical leadership to junior and mid-level engineers.

Skills

Machine Learning model design

Model deployment and optimization

Mentoring and team leadership

Analytical problem-solving

Education

NQF Level 6 or higher qualification in ICT, Information Systems, or related field

Tools

Cloud platforms (Azure, AWS, Google Cloud)

Job description

At iOCO, we leverage advanced technology and intelligent systems to solve complex business challenges. We are seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of sophisticated ML models and systems. This role combines deep technical expertise with leadership, guiding ML projects end-to-end and mentoring junior engineers.

What you'll do:

• Design and implement advanced machine learning models and systems to address complex business problems.
• Lead the end-to-end lifecycle of ML projects, including data preparation, model training, deployment, and monitoring.
• Optimize existing ML models for scalability, efficiency, and production performance.
• Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders to integrate ML solutions.
• Stay updated with emerging ML technologies and drive adoption of best practices.
• Mentor and provide technical leadership to junior and mid-level engineers.
• Develop and enforce standards for model governance, documentation, and reproducibility.
• Ensure ML solutions comply with security, ethical, and data governance standards.

Your Expertise:

• Minimum of 5 years’ experience as a Machine Learning Engineer.
• Strong expertise in ML model design, deployment, and optimization.
• Proven ability to lead ML projects and collaborate across technical and business teams.
• Excellent analytical, problem-solving, and decision-making skills.
• Strong mentoring and team leadership capabilities.

Qualifications:

• NQF Level 6 or higher tertiary qualification in Information Communication Technology (ICT), Information Systems, Computer Science, or related field.
• Cloud certification (Azure, AWS, or Google Cloud) advantageous.