AI/ML Engineering Manager
Datonomy Solutions Cape Town R 100,000 - R 140,000/month
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. The successful candidate will play a pivotal role in shaping our AI/ML strategy, ensuring solutions are aligned to business objectives, and building a high-performance, diverse, and inclusive team.
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.
- Bachelors or Masters 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.
- 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.
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