AI Operations Specialist - MLOps

Placements24; Kimberley; On-site; CAD 60,000 - 86,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Health, dental, vision

Professional development in MLOps

Paid time off and holidays

Kolaborativt work environment in Kimbe

Job summary

WhatJobs Direct seeks an experienced AI Operations Specialist (MLOps) to join our Kimberley team. You’ll deploy and maintain AI/ML models in production, streamline ML lifecycles, and collaborate with data scientists and software engineers to ensure reliable, scalable deployments.

The role emphasizes cloud infrastructure, CI/CD excellence, and robust monitoring with tools like Prometheus and Grafana. Strong scripting and teamwork are essential for success in this hands-on position.

Qualifications

• Bachelor’s degree or equivalent in a technical field.
• 3+ years in MLOps/DevOps or related operational role with AI/ML focus.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proficiency in Python or Bash scripting.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Understanding of ML concepts and lifecycles.
• Strong problem-solving and teamwork abilities.

Responsibilities

• Implement and manage MLOps pipelines for model training, validation, and deployment.
• Automate ML workflows using CI/CD tools and practices.
• Monitor performance and health of deployed AI/ML models.
• Troubleshoot model deployment and performance issues.
• Manage cloud infrastructure for AI/ML workloads (AWS/Azure/GCP).
• Collaborate with data scientists and engineers to ensure scalability and reliability.
• Enforce version control, testing, and reproducibility of ML models.
• Document procedures and system configurations.
• Support continual improvement of the MLOps strategy in Kimberley.

Skills

MLOps

DevOps

Teamwork

Communication

Education

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

Tools

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Prometheus

Grafana

Datadog

Job description

About the Role

Our client, WhatJobs Direct, is seeking a diligent and organized AI Operations Specialist with a focus on MLOps to join their dynamic team in Kimberley, Northern Cape. This role is critical for ensuring the smooth operation, deployment, and maintenance of our AI/ML models in production environments. You will work closely with data scientists and software engineers to streamline the machine learning lifecycle, from experimentation to deployment and monitoring. This position is based in our Kimberley office, fostering strong team synergy and direct collaboration. We are looking for individuals with a strong understanding of cloud infrastructure, CI/CD pipelines, and machine learning workflows. The ideal candidate is proactive, detail-oriented, and passionate about enabling efficient and reliable AI operations. Your expertise will be vital in scaling our AI initiatives and ensuring the continuous delivery of high-quality machine learning solutions. This role is essential for bridging the gap between AI development and production readiness, ensuring our AI models perform optimally in real-world applications.

Key Responsibilities

• Implement and manage MLOps pipelines for model training, validation, and deployment.
• Automate machine learning workflows using CI/CD tools and practices.
• Monitor the performance and health of deployed AI/ML models.
• Troubleshoot and resolve issues related to model deployment and performance.
• Manage cloud infrastructure for AI/ML workloads (e.g., AWS, Azure, GCP).
• Collaborate with data scientists and engineers to ensure model scalability and reliability.
• Implement best practices for version control, testing, and reproducibility of ML models.
• Document operational procedures and system configurations.
• Support the continuous improvement of our MLOps strategy in Kimberley .

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience (3+ years) in MLOps, DevOps, or a related operational role, preferably with AI/ML focus.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages such as Python or Bash.
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and lifecycles.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and teamwork abilities.
• Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog) is a plus.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and learning in MLOps.
• Be part of a growing AI team with significant impact.
• Generous paid time off and company holidays.
• Collaborative work environment in Kimberley .
• Retirement savings plan.
• Modern office facilities and resources.
• Potential for career advancement within the organization.