Machine Learning Operations (MLOps) Specialist

Placements24; Vereeniging; Hybrid; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Competitive salary

Job summary

Placements24 in Vereeniging is seeking an experienced Machine Learning Operations (MLOps) Specialist to advance our AI deployment lifecycle. You will design and optimize automated pipelines for training, deploying, and monitoring ML models in production.

Collaborate with data scientists and software engineers to ensure scalable, secure ML systems, implement versioning and testing, and maintain CI/CD practices in a hybrid work environment.

Qualifications

• Bachelor's degree in CS, Engineering or related field.
• 3+ years in DevOps, SRE or MLOps focusing on machine learning.
• Proficiency with cloud platforms and Kubernetes.
• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Strong CI/CD and automation skills.

Responsibilities

• Design, build, and maintain automated MLOps pipelines for model training, deployment, and monitoring.
• Implement strategies for model versioning, testing, and rollback.
• Monitor the performance and health of ML models in production, identifying and resolving issues.
• Collaborate with data scientists and engineers to optimize model deployment processes.
• Ensure compliance with security and governance standards for ML systems.

Skills

DevOps

SRE

MLOps

CI/CD

Automation

Model deployment

Monitoring

Education

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

Tools

Kubernetes

AWS

Azure

GCP

TensorFlow

PyTorch

Scikit-learn

Job description

About the Role

Our client is seeking an experienced Machine Learning Operations (MLOps) Specialist to enhance their AI development lifecycle in Vereeniging . This role is critical for ensuring the efficient and reliable deployment, monitoring, and management of machine learning models in production. You will work closely with data scientists and software engineers to build and automate MLOps pipelines, fostering best practices for model versioning, testing, and deployment. This is an exciting opportunity to contribute to the operationalization of AI, ensuring that our ML solutions deliver maximum value and performance.

Key Responsibilities

• Design, build, and maintain automated MLOps pipelines for model training, deployment, and monitoring.
• Implement strategies for model versioning, testing, and rollback.
• Monitor the performance and health of ML models in production, identifying and resolving issues.
• Collaborate with data scientists and engineers to optimize model deployment processes.
• Ensure compliance with security and governance standards for ML systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, SRE, or MLOps, with a focus on machine learning.
• Proficiency with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of CI/CD principles and automation tools.

Benefits

• Competitive salary and comprehensive benefits.
• Hybrid work model offering flexibility.
• Opportunities for professional development and training in MLOps.
• Work on impactful projects in the AI space in Vereeniging .
• Collaborative and innovative work culture.