Ai / Ml Engineering Manager

Executiveplacements - The Job Portal; Cape Town; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A leading tech recruitment firm in Cape Town is seeking an experienced AI / ML Engineering Manager. You will lead a team of engineers and data scientists to develop and deploy AI solutions. The ideal candidate has over 8 years of experience in AI/ML and proven leadership skills, with strong proficiency in Python and cloud platforms. This role offers a unique opportunity to foster innovation and drive impactful solutions.

Qualifications

• 8+ years of experience in AI / ML engineering, data science, or related roles.
• At least 3+ years in a leadership / management capacity.
• Proven track record of managing production-grade AI / ML solutions.

Responsibilities

• Lead, mentor, and grow a team of AI / ML engineers and data scientists.
• Drive design, development, deployment, and maintenance of AI / ML models.
• Collaborate with business stakeholders for AI-driven innovation.

Skills

Leadership

AI / ML Engineering

Data Science

Cloud Platforms

Python

SQL

Problem Solving

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

Scikit-learn

Job description

AI / ML Engineering ManagerRecruiter : Datonomy SolutionsJob Ref : Date posted : Wednesday, August 27,

Position Details

• Location : Cape Town, South Africa
• Salary : Rk - k per month
• SUMMARY : AI / ML Engineering Manager to lead a team in developing and deploying AI / ML solutions
• POSITION INFO : We are seeking an experienced AI / ML Engineering Manager to lead a team of engineers and data scientists in developing, deploying, and scaling AI and machine learning solutions.

Key Responsibilities

• Lead, mentor, and grow a team of AI / ML engineers and data scientists.
• Drive the design, development, deployment, and maintenance of AI / ML models and systems in production environments.
• Collaborate with business stakeholders to identify opportunities for AI-driven innovation and measurable value creation.
• Establish and implement best practices for ML model development, MLOps, and data engineering pipelines.
• Oversee technical architecture, data infrastructure, and cloud-based solutions to support scalable AI / ML delivery.
• Ensure governance, compliance, security, and ethical use of AI across projects.
• Foster a culture of continuous learning, experimentation, and knowledge sharing within the team.
• Work closely with senior leadership to define and deliver on the AI / ML roadmap.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field (PhD advantageous).
• 8+ years’ experience in AI / ML engineering, data science, or related roles, with at least 3+ years in a leadership / management capacity.
• Proven track record of managing teams delivering production-grade AI / ML solutions at scale.
• Strong experience with cloud platforms (AWS, Azure, or GCP), MLOps, and data engineering practices.
• Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Solid understanding of modern software engineering practices (CI / CD, DevOps, APIs, microservices).
• Experience working in retail, e-commerce, or consumer-focused industries is advantageous.

Key Competencies

• Strategic thinker with ability to align AI / ML solutions to business goals.
• Strong leadership and people management skills.
• Excellent communication and stakeholder engagement.
• Problem-solving mindset with ability to balance innovation and pragmatism.
• Commitment to diversity, equity, and inclusion in team-building and delivery.