AI Engineer - MLOps Specialist

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Professional development opportunities

Hybrid work arrangements

Collaborative culture

Work on cutting-edge AI projects

Job summary

Placements24 seeks a skilled AI Engineer with MLOps expertise to design and maintain robust ML deployment workflows. You will build and manage CI/CD pipelines, automate model training and monitoring, and develop scalable MLOps infrastructure.

The role requires collaboration with data scientists and engineers to streamline the ML lifecycle, ensuring reliable, scalable ML deployments within a hybrid work setup.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 2+ years of experience in MLOps/DevOps with ML.
• Proficiency in Python and scripting (Bash).
• Experience with cloud platforms (AWS, Azure, GCP).
• Experience with containers (Docker) and orchestration (Kubernetes).
• Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) and ML platforms.
• Strong CI/CD and infrastructure-as-code understanding.

Responsibilities

• Design, build, and manage CI/CD pipelines for ML models.
• Implement tools for automated model training, testing, deployment, and monitoring.
• Develop and maintain MLOps infrastructure including containers and orchestration.
• Collaborate with data scientists and engineers to streamline ML lifecycle.
• Ensure reliability, scalability, and performance of ML deployment environments.
• Troubleshoot and resolve deployment and operational issues.

Skills

Python

Bash scripting

AWS

Azure

GCP

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

CI/CD

IaC

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Kubernetes

Job description

About the Role

Our client is seeking a skilled AI Engineer with expertise in MLOps to join their technology team in Mahikeng . This role is vital for building and maintaining robust infrastructure and workflows that enable the efficient development, deployment, and scaling of machine learning models. You will work at the intersection of AI development and operations, ensuring seamless integration and operational excellence. This is a fantastic opportunity to contribute to the operational maturity of AI initiatives within a growing organization, fostering a culture of continuous improvement and reliable delivery.

Key Responsibilities

• Design, build, and manage CI/CD pipelines for machine learning models.
• Implement tools and practices for automated model training, testing, deployment, and monitoring.
• Develop and maintain infrastructure for MLOps, including containerization and orchestration.
• Collaborate with data scientists and engineers to streamline the ML model lifecycle.
• Ensure the reliability, scalability, and performance of ML deployment environments.
• Troubleshoot and resolve issues related to ML model deployment and operational performance.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience as an MLOps Engineer, DevOps Engineer with ML experience, or AI Engineer.
• Proficiency in scripting languages (e.g., Python, Bash) and cloud platforms (AWS, Azure, GCP).
• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and ML platforms.
• Strong understanding of CI/CD principles and infrastructure as code.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and certification in MLOps and Cloud technologies.
• Work on cutting-edge AI projects and contribute to operational excellence.
• A collaborative and innovative work culture.
• Hybrid work arrangements for enhanced work-life balance.