MLOps Engineer - Hybrid + Cloud Pipelines

Placements24; Windsor Park (TN); Hybrid; USD 37,000 - 55,000; Full time

Benefits offered by this job

Competitive salary and bonus

Hybrid work model

Health and retirement benefits

Learning and development

Cutting-edge MLOps tools

Collaborative team environment

Generous paid time off

Employee assistance programs

Job summary

Placements24 in East London, ZA is seeking an experienced MLOps Engineer to design and operate scalable ML pipelines, deploy models, and monitor production systems. The role blends development and operations to keep AI workflows reliable and efficient.

You will collaborate with data scientists and software engineers, manage cloud resources, and implement best practices for versioning, security, and governance across ML lifecycles in a hybrid work setup.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 3+ years of experience in software engineering, DevOps, or MLOps.
• Proficiency in Python scripting.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Understanding of ML concepts and lifecycles.
• Experience with ML orchestration tools (Kubeflow, MLflow, Airflow).
• Strong problem-solving and attention to detail.

Responsibilities

• Design, implement, and manage MLOps pipelines for model training, deployment, and monitoring.
• Develop and maintain CI/CD pipelines for ML models.
• Automate deployment, scaling, and management of ML models in production.
• Implement robust monitoring for model performance, data drift, and system health.
• Collaborate with data scientists and software engineers for seamless ML integration.
• Manage and optimize cloud infrastructure for ML workloads (AWS, Azure, GCP).
• Implement tools for version control of data, code, and models.
• Ensure security and governance standards for ML systems.

Skills

Problem solving

Attention to detail

Team collaboration

Education

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

Tools

Python

Docker

Kubernetes

AWS

Azure

GCP

Jenkins

GitLab CI

GitHub Actions

Kubeflow

MLflow

Airflow

Job description

Placements24 in East London, ZA is seeking an experienced MLOps Engineer to design and operate scalable ML pipelines, deploy models, and monitor production systems. The role blends development and operations to keep AI workflows reliable and efficient.

You will collaborate with data scientists and software engineers, manage cloud resources, and implement best practices for versioning, security, and governance across ML lifecycles in a hybrid work setup.