Lead ML Engineer: Drive Scalable AI & Team Impact

Placements24; Centurion; On-site; ZAR 1,000,000 - 1,700,000; Full time

Benefits offered by this job

Executive-level compensation

Stock options

Healthcare benefits

Professional development

Job summary

Placements24 in Centurion is seeking an experienced Lead Machine Learning Engineer to drive advanced analytics initiatives and ML strategy. You will lead a team of engineers, architect scalable ML systems, and deliver production-ready models that create business impact.

You will mentor data scientists and collaborate with stakeholders to translate requirements into robust ML solutions, leveraging TensorFlow, PyTorch, and cloud platforms in a modern ML stack.

Qualifications

• Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related field.
• 7+ years of professional ML engineering experience with leadership.
• Proven track record deploying ML models at scale using TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Python, Java, or Scala, and experience with big data technologies (Spark, Hadoop).

Responsibilities

• Lead the design, development, and deployment of scalable ML systems and pipelines.
• Mentor and manage a team of ML engineers, providing technical guidance and fostering growth.
• Collaborate with data scientists and business stakeholders to translate requirements into actionable ML solutions.
• Oversee the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment.
• Ensure the performance, reliability, and scalability of ML models in production environments.
• Drive research into new ML techniques and technologies to enhance capabilities.

Job description

Placements24 in Centurion is seeking an experienced Lead Machine Learning Engineer to drive advanced analytics initiatives and ML strategy. You will lead a team of engineers, architect scalable ML systems, and deliver production-ready models that create business impact.

You will mentor data scientists and collaborate with stakeholders to translate requirements into robust ML solutions, leveraging TensorFlow, PyTorch, and cloud platforms in a modern ML stack.