AI Operations Engineer

Placements24; Upington; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Flexible remote work options

Professional development

Job summary

Placements24 is seeking an AI Operations Engineer in Upington to manage and optimize the operational aspects of AI infrastructure, ensuring reliability, scalability, and performance in production environments.

You will deploy, monitor, and maintain AI models, automate deployments and maintenance, and collaborate with engineering and data science teams to improve AI system efficiency.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related operations role.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools for managing ML lifecycles.
• Proficiency in scripting languages (e.g., Python, Bash) and experience with CI/CD pipelines.

Responsibilities

• Deploy, monitor, and maintain AI/ML models and associated infrastructure in production environments.
• Automate operational tasks related to AI systems, including deployment, scaling, and maintenance.
• Develop and implement monitoring solutions to track the performance and health of AI services.
• Troubleshoot and resolve operational issues, ensuring minimal downtime and service disruption.
• Collaborate with engineering and data science teams to optimize AI system performance and efficiency.

Skills

DevOps

SRE

CI/CD

Python scripting

Cloud platforms

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a skilled and detail-oriented AI Operations Engineer to manage and optimize the operational aspects of their AI & Emerging Technologies infrastructure in Upington . This role is critical for ensuring the reliability, scalability, and performance of AI systems in production. You will be responsible for deploying, monitoring, and maintaining AI models and platforms, working closely with engineering teams to automate processes and resolve operational issues. This is an exciting opportunity to contribute to the operational excellence of cutting-edge AI solutions in a supportive and innovative environment.

Key Responsibilities

• Deploy, monitor, and maintain AI/ML models and associated infrastructure in production environments.
• Automate operational tasks related to AI systems, including deployment, scaling, and maintenance.
• Develop and implement monitoring solutions to track the performance and health of AI services.
• Troubleshoot and resolve operational issues, ensuring minimal downtime and service disruption.
• Collaborate with engineering and data science teams to optimize AI system performance and efficiency.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related operations role.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools for managing ML lifecycles.
• Proficiency in scripting languages (e.g., Python, Bash) and experience with CI/CD pipelines.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work on advanced AI technologies in Upington .
• Professional development and continuous learning support.
• Collaborative and forward-thinking work culture.
• Flexible remote work options.