Remote MLOps Engineer: Build Scalable AI Pipelines

Alpla Inc.; South Africa; Remote; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Fully remote work arrangement

Competitive salary package

Health, dental & vision insurance

Professional development opportunities

Global collaboration & flexible hours

Paid time off

Job summary

Alpla Inc. is seeking a remote MLOps Engineer to design and maintain scalable ML pipelines, automate model training, deployment, and monitoring in production.

You will collaborate with data scientists and software engineers across the globe to operationalize ML models and ensure reliable, cost-efficient deployments. The role emphasizes hands-on work with Docker/Kubernetes, cloud ML services, and CI/CD tools, with a focus on production readiness, security, and scalability in a remote, distributed

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in MLOps, DevOps, or a related role focused on automating and managing ML lifecycles.
• Strong programming skills in Python and scripting languages.
• Proficiency with cloud platforms (AWS, Azure, GCP) and their ML services.
• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Understanding of CI/CD principles and tools (e.g., Jenkins, GitHub Actions).
• Experience with monitoring tools and techniques for ML systems.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration abilities for a remote team environment.

Responsibilities

• Design, build, and maintain scalable and automated MLOps pipelines for CI/CD of machine learning models.
• Implement tools and processes for model training, versioning, deployment, monitoring, and retraining.
• Collaborate with data scientists to operationalize machine learning models, ensuring their smooth transition from development to production.
• Develop and manage infrastructure for ML model serving, including containerization (Docker) and orchestration (Kubernetes).
• Implement robust monitoring solutions for ML models in production, tracking performance, drift, and potential issues.
• Automate data validation, model validation, and testing procedures.
• Manage and optimize cloud-based ML infrastructure (AWS, Azure, GCP).
• Ensure security, compliance, and cost-efficiency of ML deployments.
• Stay updated with the latest MLOps tools, technologies, and best practices.
• Provide technical guidance and support to data science and engineering teams on MLOps best practices.

Skills

Python

CI/CD

Remote collaboration

Problem solving

Education

Bachelor's or Master's degree in CS/SE

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

GitHub Actions

Jenkins

GitLab CI

Job description

Alpla Inc. is seeking a remote MLOps Engineer to design and maintain scalable ML pipelines, automate model training, deployment, and monitoring in production.

You will collaborate with data scientists and software engineers across the globe to operationalize ML models and ensure reliable, cost-efficient deployments. The role emphasizes hands-on work with Docker/Kubernetes, cloud ML services, and CI/CD tools, with a focus on production readiness, security, and scalability in a remote, distributed