Remote MLOps Engineer: Build Scalable AI Pipelines

Placements24; LegKraal Gate; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Performance bonus

Health insurance

Remote work

Professional development

AI projects

Job summary

Placements24 is seeking a dedicated Remote MLOps Engineer to streamline the lifecycle of ML models. You will design robust pipelines for training, deployment, monitoring, and management, enabling efficient and reliable AI solutions for a global client base.

Responsibilities include building end-to-end MLOps pipelines, automating training and deployment, and maintaining cloud-based infrastructure with CI/CD practices.

Qualifications

• 2+ years of experience in MLOps, DevOps, or a related role focusing on machine learning systems.
• Strong CI/CD understanding and scripting abilities (Python, Bash).
• Proficiency with cloud platforms (AWS, Azure, GCP) and IaC tools.

Responsibilities

• Design, implement, and manage end-to-end MLOps pipelines for ML models.
• Automate training, validation, deployment, and monitoring processes.
• Develop and maintain infrastructure for ML experimentation and production environments in cloud settings.
• Implement model versioning, drift detection, and performance tracking.

Education

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

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Job description

Placements24 is seeking a dedicated Remote MLOps Engineer to streamline the lifecycle of ML models. You will design robust pipelines for training, deployment, monitoring, and management, enabling efficient and reliable AI solutions for a global client base.

Responsibilities include building end-to-end MLOps pipelines, automating training and deployment, and maintaining cloud-based infrastructure with CI/CD practices.