AI/ML Technical Lead — R&D Innovator (Hybrid)

Placements24; Soweto; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary with performancebon

Conference opportunities

Health and retirement benefits

Job summary

Placements24 seeks a Technical Lead for its AI/ML division in Soweto, Gauteng. You will guide a team of AI engineers and researchers to design, implement, and deploy cutting-edge machine learning solutions, shaping the technical direction and project success.

You will mentor teams, drive architecture decisions, ensure scalable ML lifecycles, and stay abreast of the latest AI advances while ensuring ethical application and high-quality code in a hybrid work environment.

Qualifications

• PhD or Master's degree in Computer Science, AI/ML, or related quantitative field.
• 6+ years of AI/ML development experience with model building and deployment.
• Proven experience leading technical teams and managing complex AI projects.
• Deep understanding of supervised/unsupervised learning and deep learning.

Responsibilities

• Lead design, development, and deployment of state-of-the-art ML models and algorithms.
• Mentor AI engineers and researchers, fostering technical excellence.
• Define technical roadmap and architecture for AI/ML projects.
• Collaborate with product managers to translate requirements into technical solutions.
• Oversee ML lifecycle from data preprocessing to deployment.
• Stay updated on AI research and ethical use of AI technologies.
• Conduct code reviews and uphold high coding standards.
• Contribute to publications, presentations, and IP development.

Skills

Leadership

Mentoring

Communication

Problem solving

Critical thinking

Education

Master's degree or PhD in CS/AI/ML

Tools

Python

TensorFlow

PyTorch

scikit-learn

AWS SageMaker

Azure ML / Google AI Platform

Job description

Placements24 seeks a Technical Lead for its AI/ML division in Soweto, Gauteng. You will guide a team of AI engineers and researchers to design, implement, and deploy cutting-edge machine learning solutions, shaping the technical direction and project success.

You will mentor teams, drive architecture decisions, ensure scalable ML lifecycles, and stay abreast of the latest AI advances while ensuring ethical application and high-quality code in a hybrid work environment.