Lead ML Engineer – MLOps & Platform Leadership

Placements24; Mossel Bay; On-site; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Stock options

Comprehensive health insurance

Generous annual bonus

Professional development funding

Job summary

Placements24 in Mossel Bay, Western Cape, is seeking a Lead Machine Learning Engineer with a strong focus on MLOps to build and scale ML infrastructure. You will define best practices for deployment, monitoring, and model versioning while guiding a team of engineers.

The role emphasizes automating ML workflows, cloud platform proficiency, and leadership to shape the technical direction of a fast-growing AI startup. Mossel Bay office-based role with competitive compensation.

Qualifications

• Requires a BS/MS in CS/SE or related field.
• 5+ years in ML engineering with 2+ years in MLOps.
• Hands-on with AWS/Azure/GCP and ML services.
• Strong Python and ML framework experience.
• Solid CI/CD knowledge and containerization skills.
• Infra as Code experience is a plus.
• Proven leadership and collaboration abilities.

Responsibilities

• Lead design and implementation of robust MLOps pipelines.
• Set best practices for model versioning, testing, deployment, monitoring.
• Develop CI/CD pipelines for ML workflows.
• Collaborate with data scientists and software engineers for production integration.
• Manage and scale ML infrastructure on cloud platforms.
• Implement model retraining, drift detection, and monitoring strategies.
• Automate deployment and operational tasks.
• Provide technical leadership and mentorship to engineers.
• Contribute to roadmap for the ML platform.
• Troubleshoot ML performance and infrastructure issues.

Skills

Leadership

Communication

Problem solving

Mentorship

Education

Bachelor's or Master's in CS/SE

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

Scikit-learn

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

Terraform

CloudFormation

Job description

Placements24 in Mossel Bay, Western Cape, is seeking a Lead Machine Learning Engineer with a strong focus on MLOps to build and scale ML infrastructure. You will define best practices for deployment, monitoring, and model versioning while guiding a team of engineers.

The role emphasizes automating ML workflows, cloud platform proficiency, and leadership to shape the technical direction of a fast-growing AI startup. Mossel Bay office-based role with competitive compensation.