Machine Learning Operations (MLOps) Specialist

Placements24; East London; On-site; ZAR 700,000 - 900,000; Full time

Job summary

Placements24 is seeking a dedicated MLOps Specialist to join their technology infrastructure team in East London. This role focuses on deploying, monitoring, and maintaining ML models in production, bridging data science and operations to ensure reliable AI systems.

You will implement CI/CD pipelines, automate deployments, and scale ML workflows with Docker and Kubernetes, collaborating with data scientists and engineers to improve model performance and stability.

Qualifications

• Bachelor's degree in CS, Engineering or a related technical field.
• 3+ years in software engineering, DevOps, or MLOps.
• Experience with AWS, Azure or GCP and their MLOps services.
• Experience with Docker and Kubernetes.
• Strong scripting in Python or Bash and CI/CD tools.
• Understanding of ML concepts and model lifecycles.

Responsibilities

• Implement and manage CI/CD pipelines for ML models and infrastructure.
• Automate deployment, testing, and monitoring of ML models in production.
• Develop and maintain scalable infrastructure for ML training and inference.
• Collaborate with data scientists and engineers to improve model performance.
• Implement robust logging, monitoring and alerting for ML apps.
• Manage containerization and orchestration for ML workloads.

Skills

CI/CD

Docker

Kubernetes

Python

Cloud platforms

MLOps

DevOps

Scripting

Model lifecycles

Logging & monitoring

Education

Bachelor's degree

Tools

CI/CD tools

Docker

Kubernetes

Job description

About the Role

Our client is seeking a dedicated Machine Learning Operations (MLOps) Specialist to join their robust technology infrastructure team in East London . This role is crucial for streamlining the deployment, monitoring, and maintenance of machine learning models in production environments. You will bridge the gap between data science and operations, implementing best practices for CI/CD, automation, and scalability of ML workflows. The ideal candidate possesses a strong blend of software engineering, DevOps, and machine learning knowledge, enabling them to ensure the reliability and efficiency of our AI systems, contributing to the technological advancements within Eastern Cape .

Key Responsibilities

• Implement and manage CI/CD pipelines for machine learning models and infrastructure.
• Automate the deployment, testing, and monitoring of ML models in production.
• Develop and maintain infrastructure for scalable ML model training and inference.
• Collaborate with data scientists and engineers to optimize model performance and reliability.
• Implement robust logging, monitoring, and alerting systems for ML applications.
• Manage containerization (Docker) and orchestration (Kubernetes) for ML workloads.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• 3+ years of experience in software engineering, DevOps, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and their MLOps services.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Strong scripting skills (e.g., Python, Bash) and familiarity with CI/CD tools.
• Understanding of machine learning concepts and model lifecycles.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and certifications in cloud and MLOps.
• Work on cutting-edge ML infrastructure in a collaborative environment in East London.
• Contribute to the efficient operationalization of AI models.