Machine Learning Operations (MLOps) Engineer

Placements24; Stellenbosch; Vor Ort; ZAR 800.000 - 1.200.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Health, dental, vision insurance

Generous paid time off

Professional growth

Modern tech stack

Dynamic team culture

Impactful AI projects

Zusammenfassung

Placements24 in Paarl, Western Cape, is seeking a skilled MLOps Engineer to bridge ML model development and production deployment. You will build, automate, and manage infrastructure for scalable ML systems, working closely with data scientists and engineers to ensure smooth integration and continuous improvement of AI products.

The ideal candidate brings strong software engineering, DevOps experience, and a deep understanding of ML lifecycles.

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, DevOps, or MLOps roles.
• Strong understanding of the ML lifecycle and deployment challenges.
• Proficiency in Python scripting.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Experience with cloud platforms (AWS/Azure/GCP) and ML services.
• Knowledge of infrastructure as code tools (Terraform, Ansible).
• Understanding of monitoring and logging tools (Prometheus, Grafana, ELK).
• Excellent problem-solving and collaboration skills.

Aufgaben

• Design, build, and maintain CI/CD pipelines for ML models.
• Automate deployment, monitoring, and management of ML models in production.
• Implement model versioning, testing, and validation processes.
• Monitor ML system performance and resolve issues.
• Collaborate with data scientists to optimize models for production.
• Develop infrastructure for ML training and inference.
• Ensure scalability, reliability, and security of ML deployments.
• Create documentation for MLOps processes and infrastructure.
• Stay current with MLOps best practices and tools.

Kenntnisse

Python

CI/CD

Docker

Kubernetes

Cloud platforms

Monitoring & logging

Ausbildung

Bachelor's degree in CS/Engineering or related

Tools

Terraform

Ansible

Prometheus/Grafana

Jobbeschreibung

About the Role

Our client is a rapidly growing technology firm focused on delivering AI-powered solutions and is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their dedicated team in Paarl, Western Cape. This role is crucial for bridging the gap between machine learning model development and reliable production deployment. You will be responsible for building, automating, and managing the infrastructure and workflows required to deploy, monitor, and maintain machine learning models at scale. The ideal candidate possesses a strong background in software engineering, DevOps principles, and a deep understanding of the machine learning lifecycle. This is an exciting opportunity to work with cutting-edge AI technologies and contribute to the operational excellence of our client's innovative products. You will collaborate closely with data scientists and engineers to ensure seamless integration and continuous improvement of ML systems. We are looking for a proactive individual passionate about operationalizing AI and ensuring its smooth, efficient delivery.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, monitoring, and management of ML models in production.
• Implement tools and processes for model versioning, testing, and validation.
• Monitor ML system performance, identify issues, and implement solutions.
• Collaborate with data scientists to optimize models for production environments.
• Develop and maintain infrastructure for ML training and inference.
• Ensure the scalability, reliability, and security of ML deployments.
• Create documentation for MLOps processes and infrastructure.
• Stay current with MLOps best practices, tools, and technologies.
• Troubleshoot and resolve issues related to ML model deployment and operation.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, DevOps, or MLOps roles.
• Strong understanding of the machine learning lifecycle and model deployment challenges.
• Proficiency in scripting languages such as Python.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of infrastructure as code tools (e.g., Terraform, Ansible).
• Understanding of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunities for professional growth and skill development.
• Access to modern technology stacks and development environments.
• A dynamic and supportive team culture.
• The chance to work on impactful AI projects.
• Stable employment in a growing tech company.