Senior AI/ML Engineer — Production ML Systems

Placements24; Polokwane; Hybride; ZAR 900 000 - 1 700 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health insurance

Retirement contributions

Paid time off

Training and development

Career advancement

Résumé du poste

Placements24 in Polokwane, Limpopo, seeks a Senior AI/ML Engineer to design, deploy, and maintain production-grade AI/ML models. You will bridge research and application, building robust ML infrastructure and collaborating with cross-functional teams to deliver scalable solutions.

The role emphasizes MLOps, model monitoring, and continuous improvement in a production environment, with hybrid work options in Polokwane area.

Qualifications

• 5+ years of software engineering experience with a focus on ML models in production.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Experience building data pipelines and ML infrastructure.
• Familiarity with MLOps concepts and CI/CD for ML.

Responsabilités

• Develop, implement, and deploy scalable ML models into production systems.
• Build and maintain robust data pipelines and ML infrastructure.
• Optimize model performance for production in terms of latency and throughput.
• Collaborate with data scientists and software engineers to integrate ML models.
• Monitor deployed models and retrain or improve as needed.
• Implement MLOps best practices including CI/CD, versioning, and testing.
• Troubleshoot AI/ML systems in production.
• Stay up-to-date with AI/ML advancements and mentor juniors.

Formation

Master's or Ph.D. in Computer Science, Machine Learning, or related quantitative field

Outils

Python

TensorFlow

PyTorch

scikit-learn

Docker

Kubernetes

MLflow

Kubeflow

AWS

Azure

GCP

Description du poste

Placements24 in Polokwane, Limpopo, seeks a Senior AI/ML Engineer to design, deploy, and maintain production-grade AI/ML models. You will bridge research and application, building robust ML infrastructure and collaborating with cross-functional teams to deliver scalable solutions.

The role emphasizes MLOps, model monitoring, and continuous improvement in a production environment, with hybrid work options in Polokwane area.