Chief ML Architect for Scientific AI

Placements24; Kempton Park; On-site; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Health benefits

Performance-based bonuses

Learning opportunities

Job summary

Placements24 is seeking a visionary Lead Machine Learning Engineer to spearhead AI research in Gauteng. You will drive ML model development from concept to deployment, leading a team of engineers and researchers in a collaborative, results-driven environment.

The ideal candidate combines deep ML expertise with strategic leadership, experience delivering complex AI solutions, and a passion for solving challenging scientific problems.

Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 7+ years of experience leading ML projects/teams.
• Strong knowledge of ML paradigms including deep learning and reinforcement learning.

Responsibilities

• Lead design, development and deployment of advanced ML models for scientific applications.
• Oversee ML lifecycle: data collection, preprocessing, feature engineering, training, evaluation and deployment.
• Mentor and guide ML engineers and data scientists.
• Collaborate with researchers and software engineers to translate business needs into technical solutions.
• Research new ML techniques and assess applicability to challenges.
• Develop and maintain robust ML infrastructure and tooling for efficient development.
• Present findings and progress to stakeholders and senior management.
• Ensure scalability, reliability and performance of deployed ML models.
• Champion MLOps best practices, versioning and CI/CD for ML systems.

Skills

Leadership

Python

Machine Learning

Deep Learning

Reinforcement Learning

Communication

Education

Master's or PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Docker

Kubernetes

Job description

Placements24 is seeking a visionary Lead Machine Learning Engineer to spearhead AI research in Gauteng. You will drive ML model development from concept to deployment, leading a team of engineers and researchers in a collaborative, results-driven environment.

The ideal candidate combines deep ML expertise with strategic leadership, experience delivering complex AI solutions, and a passion for solving challenging scientific problems.