Remote Machine Learning Operations (MLOps) Engineer

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

About the Role

Our client is seeking a dedicated Remote Machine Learning Operations (MLOps) Engineer to streamline and automate the lifecycle of their machine learning models. In this fully remote position, you will be instrumental in building robust pipelines for model training, deployment, monitoring, and management, ensuring that our AI solutions are deployed efficiently and reliably. You will collaborate closely with data scientists and software engineers to bridge the gap between model development and production, fostering a culture of operational excellence in AI. We are looking for an experienced MLOps professional who can design, implement, and maintain the systems that support our rapidly growing AI initiatives, operating remotely to serve our global client base.

Key Responsibilities

• Design, implement, and manage end-to-end MLOps pipelines for machine learning models.
• Automate model training, validation, deployment, and monitoring processes.
• Develop and maintain infrastructure for ML experimentation and production environments, primarily in cloud settings.
• Implement strategies for model versioning, drift detection, and performance tracking.
• Collaborate with data science and engineering teams to ensure seamless integration and operational readiness of ML solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in MLOps, DevOps, or a related role with a focus on machine learning systems.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of CI/CD principles, scripting languages (Python, Bash), and infrastructure-as-code tools.

Benefits

• Highly competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Full remote work flexibility with flexible working hours.
• Opportunities for professional development, certifications, and attending industry conferences.
• Contribute to cutting-edge AI projects from the comfort of your home office.