AI Operations Specialist - MLOps

Placements24; Soweto; On-site; ZAR 600,000 - 1,100,000; Full time

Job summary

Placements24 in Soweto, Gauteng, seeks an AI Operations Specialist focused on MLOps to build and maintain scalable ML pipelines. You will automate data ingestion, training, validation, and deployment while monitoring model health in production.

You will collaborate with data scientists and engineers to ensure seamless integration and robust CI/CD for ML projects. The role emphasizes reliability, security, and reproducibility of AI systems, with opportunities to shape MLOps best practices within

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience in MLOps, DevOps, or a related field focused on production systems.
• Strong understanding of machine learning concepts and the ML lifecycle.
• Proficiency in scripting languages such as Python.
• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of CI/CD tools and practices.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and collaboration abilities.
• Experience with monitoring and logging tools.

Responsibilities

• Design, implement, and manage MLOps pipelines for model deployment, monitoring, and retraining.
• Automate machine learning workflows, including data ingestion, model training, validation, and deployment.
• Monitor the performance and health of AI models in production, identifying and resolving issues proactively.
• Implement tools and processes for model versioning, experimentation tracking, and reproducibility.
• Collaborate with data scientists and software engineers to ensure seamless integration of ML models into production systems.
• Develop and maintain CI/CD pipelines for machine learning projects.
• Ensure the scalability, reliability, and security of AI operational infrastructure.
• Troubleshoot and debug issues related to AI model deployment and performance.
• Contribute to the development of best practices and standards for MLOps.

Skills

Python

CI/CD

Problem-solving

Communication

Education

Bachelor's degree in CS/Engineering or related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

CI/CD tools

Job description

About the Role

Our client is seeking a proactive and detail-oriented AI Operations Specialist with a focus on Machine Learning Operations (MLOps) to join their dedicated team in Soweto, Gauteng. This role is crucial for ensuring the smooth, efficient, and reliable deployment and management of AI and machine learning models in production environments. You will be responsible for building and maintaining MLOps pipelines, automating processes, and monitoring system performance to guarantee optimal operation. This position requires a strong understanding of both software engineering best practices and machine learning workflows, ensuring that AI models deliver consistent value. The role is based in our Soweto, Gauteng office, fostering a collaborative environment for operational excellence.

Key Responsibilities

• Design, implement, and manage MLOps pipelines for model deployment, monitoring, and retraining.


• Automate machine learning workflows, including data ingestion, model training, validation, and deployment.


• Monitor the performance and health of AI models in production, identifying and resolving issues proactively.


• Implement tools and processes for model versioning, experimentation tracking, and reproducibility.


• Collaborate with data scientists and software engineers to ensure seamless integration of ML models into production systems.


• Develop and maintain CI/CD pipelines for machine learning projects.


• Ensure the scalability, reliability, and security of AI operational infrastructure.


• Troubleshoot and debug issues related to AI model deployment and performance.


• Contribute to the development of best practices and standards for MLOps.

Requirements

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


• Proven experience in MLOps, DevOps, or a related field focused on production systems.


• Strong understanding of machine learning concepts and the ML lifecycle.


• Proficiency in scripting languages such as Python.


• Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).


• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.


• Knowledge of CI/CD tools and practices.


• Excellent problem-solving, analytical, and troubleshooting skills.


• Strong communication and collaboration abilities.


• Experience with monitoring and logging tools.

Benefits

Our client offers a competitive salary, a comprehensive benefits package, and significant opportunities for professional growth in the exciting field of MLOps. You will play a key role in ensuring the operational success of our client's AI initiatives. This role is based in our Soweto, Gauteng office, providing a collaborative and dynamic work environment. We are committed to fostering employee development and provide access to training and resources to stay current with MLOps best practices and tools.