Lead Machine Learning Engineer

Placements24; Centurion; Sur place; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Medical coverage

Pension plan

Generous annual leave

Learning opportunities and conferences

Modern Centurion office

Lead impactful projects

Résumé du poste

Placements24 in Centurion, Gauteng is seeking a Lead Machine Learning Engineer to lead the development, deployment, and scaling of production ML models. You will guide a team of engineers, drive MLOps pipelines, and collaborate with data scientists and software teams to deliver robust AI solutions.

The role emphasizes strong leadership, advanced ML expertise, and a hands-on approach in a modern Centurion office.

Qualifications

• Advanced degree in a relevant field with ML specialization.
• 5+ years in ML engineering, including at least 2 in a lead role.
• Proven production ML deployment experience.
• Strong Python and ML libraries proficiency.
• Hands-on with MLOps tools and cloud ML services.
• Solid software engineering practices and collaboration.

Responsabilités

• Lead design, development and deployment of production ML models.
• Mentor a team of ML engineers and provide technical guidance.
• Develop and maintain robust MLOps pipelines for training, validation, deployment, and monitoring.
• Collaborate with data scientists and software engineers to scale research.
• Optimize models for performance and reliability in production.
• Ensure production ML systems are reliable and maintainable.
• Stay updated with ML and MLOps advancements.
• Contribute to ML infra architecture and tooling decisions.
• Champion best practices in software and ML development.

Connaissances

Leadership

Python

Communication

Problem-solving

Formation

Master's or PhD in CS/Engineering

Outils

TensorFlow

PyTorch

scikit-learn

MLflow

Kubeflow

Docker

Kubernetes

Git

CI/CD

AWS

Azure

GCP

Description du poste

About the Role

Our client is at the forefront of AI innovation and is seeking an experienced and forward-thinking Lead Machine Learning Engineer to join their team in Centurion, Gauteng. This pivotal role involves leading the development, implementation, and deployment of sophisticated machine learning models and systems. You will guide a team of talented engineers, fostering an environment of technical excellence and continuous improvement. This position offers the chance to work on challenging projects that leverage AI to drive business value and push the boundaries of what's possible. The successful candidate will have a deep understanding of ML pipelines, MLOps practices, and a passion for building scalable and robust AI solutions. As a key member of the AI & Emerging Technologies division, you will have a direct impact on the company's technological advancements. The role is based in our modern Centurion, Gauteng offices, providing a collaborative and inspiring workspace.

Key Responsibilities

• Lead the design, development, and deployment of production-grade machine learning models and systems.
• Manage and mentor a team of machine learning engineers, providing technical guidance and support.
• Develop and maintain robust MLOps pipelines for automated training, validation, deployment, and monitoring of ML models.
• Collaborate with data scientists and software engineers to translate research concepts into scalable production solutions.
• Optimize machine learning models for performance, efficiency, and scalability.
• Ensure the reliability, availability, and maintainability of ML systems in production environments.
• Stay up-to-date with the latest advancements in machine learning, MLOps, and related technologies.
• Contribute to the architectural decisions regarding ML infrastructure and tooling.
• Champion best practices in software engineering and machine learning development.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related field with a specialization in Machine Learning.
• 5+ years of hands-on experience in machine learning engineering, with at least 2 years in a lead or senior capacity.
• Proven experience in developing and deploying machine learning models into production environments.
• Strong proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Extensive experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Solid understanding of software development best practices, including version control (Git), CI/CD, and testing.
• Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services.
• Excellent leadership, communication, and problem-solving skills.
• Ability to work effectively in a collaborative, fast-paced environment in Centurion, Gauteng.

Benefits

• Highly competitive salary and performance-based bonus structure.
• Comprehensive medical, dental, and vision coverage.
• Pension fund contributions.
• Generous annual leave and sick leave policy.
• Opportunities for continuous learning, certifications, and conference attendance.
• State-of-the-art office facilities in Centurion, Gauteng.
• The chance to lead impactful projects in a rapidly growing field.