Lead Deep Learning AI/ML Engineer — Production Models + Stock Options

Placements24; Kempton Park; On-site; ZAR 1,600,000 - 2,300,000; Full time

Benefits offered by this job

Competitive base salary

Medical, dental & vision insurance

Retirement savings plan with company-m

Professional development

Stock options

Work-life balance

Job summary

Placements24 is seeking an experienced Lead AI/ML Engineer to spearhead advanced deep learning initiatives in a state-of-the-art research facility in Tembisa, Gauteng. You will guide a team of engineers and researchers, translating research concepts into robust production systems.

Requirements include a PhD/Masters in CS/AI/ML and 5+ years of hands-on deep learning, with expertise in TensorFlow, PyTorch, and Keras. Strong leadership and cloud experience are essential.

Qualifications

• Master's or Ph.D. in Computer Science, AI, or related field.
• 5+ years in designing and deploying complex ML models with deep learning focus.
• Proven experience leading technical teams and AI/ML projects.

Responsibilities

• Lead design, development, and deployment of advanced deep learning models and AI systems.
• Mentor AI/ML engineers and data scientists.
• Oversee the ML lifecycle from data preprocessing to deployment and retraining.
• Define and drive the technical roadmap for AI/ML projects.
• Research new AI techniques and evaluate their applicability.
• Ensure scalability, performance, and reliability of AI solutions in production.
• Collaborate with product managers, software engineers, and stakeholders to integrate AI capabilities.
• Champion MLOps, data governance, and ethical AI development.

Skills

Leadership

Team management

Communication

Problem solving

Research ability

Education

Master's or PhD in Computer Science/AI/ML

Tools

TensorFlow

PyTorch

Keras

Python

Docker

Kubernetes

MLflow

Cloud platforms (AWS/Azure/GCP)

Job description

Placements24 is seeking an experienced Lead AI/ML Engineer to spearhead advanced deep learning initiatives in a state-of-the-art research facility in Tembisa, Gauteng. You will guide a team of engineers and researchers, translating research concepts into robust production systems.

Requirements include a PhD/Masters in CS/AI/ML and 5+ years of hands-on deep learning, with expertise in TensorFlow, PyTorch, and Keras. Strong leadership and cloud experience are essential.