AI/ML Operations (MLOps) Engineer

Placements24; LegKraal Gate; In loco; ZAR 800.000 - 1.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Salary incentives

Health insurance

Paid time off

Growth opportunities

AI projects exposure

Descrizione del lavoro

Placements24 partners with a leading AI & Emerging Technologies company in Mahikeng, North West to hire an experienced MLOps Engineer. You will design, deploy, and monitor scalable ML pipelines, collaborating with data scientists and software engineers to operationalize AI solutions in production.

The role focuses on CI/CD for ML, model deployment, infrastructure for training and inference, and ensuring robust, secure systems across AWS/Azure/GCP, Docker, and Kubernetes.

Competenze

• Bachelor's degree in CS, Engineering or a related field.
• 3+ years in software engineering, DevOps, or MLOps.
• Hands-on with MLOps tools such as MLflow, Kubeflow or Seldon Core.
• Proficient in Python or Bash scripting.
• Experience with AWS, Azure or GCP and IaC tools like Terraform or Ansible.
• Understanding of ML concepts and workflows.
• Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI).
• Strong problem-solving and troubleshooting skills. Excellent communication and collaboration abilities.
• Experience within the Mahikeng, North West region is a plus.

Mansioni

• Design, implement, and manage CI/CD pipelines for machine learning models.
• Automate the deployment, testing, and monitoring of ML models in production environments.
• Develop and maintain infrastructure for ML training and inference.
• Collaborate with data scientists to optimize models for production readiness.
• Implement tools and processes for model versioning, lineage tracking, and experiment management.
• Monitor model performance and retrain models as needed.
• Ensure the scalability, reliability, and security of ML systems.
• Work with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Troubleshoot and resolve operational issues related to ML deployments.

Conoscenze

Problem-solving

Troubleshooting

Communication

Collaboration

Formazione

Bachelor's degree in Computer Science, Engineering, or related field

Strumenti

MLflow

Kubeflow

Seldon Core

Python

Bash

AWS

Azure

GCP

Terraform

Ansible

Jenkins

GitLab CI

CircleCI

Docker

Kubernetes

Descrizione del lavoro

About the Role

Our client, a leader in AI & Emerging Technologies, is seeking a skilled MLOps Engineer to join their innovative team in Mahikeng, North West. This role is crucial for streamlining and automating the machine learning lifecycle, ensuring efficient deployment, monitoring, and management of AI models in production. You will collaborate closely with data scientists and software engineers to build robust pipelines and infrastructure that support our client's AI initiatives. The ideal candidate possesses a strong background in both machine learning and DevOps practices, with a passion for operational excellence. This is an exciting opportunity to work on the forefront of AI technology in a growing market and contribute to the operational success of cutting-edge AI solutions. We foster a culture of innovation and continuous improvement.

Key Responsibilities

• Design, implement, and manage CI/CD pipelines for machine learning models.
• Automate the deployment, testing, and monitoring of ML models in production environments.
• Develop and maintain infrastructure for ML training and inference.
• Collaborate with data scientists to optimize models for production readiness.
• Implement tools and processes for model versioning, lineage tracking, and experiment management.
• Monitor model performance and retrain models as needed.
• Ensure the scalability, reliability, and security of ML systems.
• Work with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Troubleshoot and resolve operational issues related to ML deployments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, DevOps, or MLOps roles.
• Hands-on experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Seldon Core).
• Proficiency in scripting languages (e.g., Python, Bash).
• Experience with cloud platforms (AWS, Azure, GCP) and infrastructure as code (IaC) tools (e.g., Terraform, Ansible).
• Understanding of machine learning concepts and workflows.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Strong problem-solving and troubleshooting skills.Excellent communication and collaboration abilities.
• Experience within the Mahikeng, North West region is a plus.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and retirement plan.
• Opportunities for professional growth and MLOps certifications.
• Exposure to state-of-the-art AI & Emerging Technologies projects.
• Be a critical part of the AI operational success in Mahikeng, North West.