AI / ML Engineering Manager

4 days ago

Cape Town, South Africa Datonomy Solutions Full time

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. Qualifications & Experience 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. 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. #J-18808-Ljbffr

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