MLOps Engineer - AI Infrastructure

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

Benefits offered by this job

Health insurance

Retirement contributions

Paid time off

Hybrid work arrangement

Professional development

Job summary

WhatJobs Direct in East London, Eastern Cape, ZA, is seeking an experienced MLOps Engineer to build and maintain the ML infrastructure enabling our AI lifecycle. You will automate deployment, scaling, monitoring, and management of models in production.

Collaborate with data scientists, ML engineers, and software developers to ensure reliable AI systems. The role blends software engineering, DevOps, and ML workflow knowledge, with opportunities to grow in a growing AI environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in DevOps, software engineering, or MLOps.
• Proficiency in Python scripting.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Understanding of machine learning concepts and the ML lifecycle.

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Automate the deployment, scaling, and monitoring of ML models in production.
• Develop and manage infrastructure for ML training, data pipelines, and model serving.
• Implement tools and processes for version control of data, code, and models.
• Monitor ML system performance, identify bottlenecks, and implement optimizations.
• Collaborate with data scientists and ML engineers to troubleshoot and resolve production issues.
• Ensure the security, reliability, and scalability of the ML infrastructure.
• Stay up-to-date with the latest MLOps tools, technologies, and best practices.

Skills

Python

CI/CD

Docker

Kubernetes

Terraform

Ansible

Cloud platforms

MLOps

Education

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

Tools

Jenkins

GitLab CI

GitHub Actions

Job description

About the Role

WhatJobs Direct is seeking an experienced MLOps Engineer to join our innovative team in East London, Eastern Cape, ZA. This role is crucial for building and maintaining the infrastructure that supports our AI and machine learning development lifecycle. You will be responsible for automating and streamlining the deployment, monitoring, and management of ML models in production environments. This position requires a strong blend of software engineering, DevOps principles, and a solid understanding of machine learning workflows. You will collaborate closely with data scientists, ML engineers, and software developers to ensure the smooth and efficient operation of our AI systems. The role offers an excellent opportunity to contribute to the growing field of MLOps in a key economic center.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.


• Automate the deployment, scaling, and monitoring of ML models in production environments.


• Develop and manage infrastructure for ML training, data pipelines, and model serving.


• Implement tools and processes for version control of data, code, and models.


• Monitor ML system performance, identify bottlenecks, and implement optimizations.


• Collaborate with data scientists and ML engineers to troubleshoot and resolve production issues.


• Ensure the security, reliability, and scalability of the ML infrastructure.


• Stay up-to-date with the latest MLOps tools, technologies, and best practices.

Requirements

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


• 3+ years of experience in DevOps, software engineering, or MLOps.


• Proficiency in scripting languages such as Python.


• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).


• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).


• Understanding of machine learning concepts and the ML lifecycle.


• Experience with infrastructure as code tools (e.g., Terraform, Ansible) is a plus.


• Strong problem-solving and analytical skills.


• Excellent communication and collaboration abilities.


• Experience within the tech community of East London, Eastern Cape, ZA is beneficial.

Benefits

Our client offers a competitive salary and a comprehensive benefits package, including health insurance, retirement contributions, and generous paid time off. The hybrid work arrangement provides flexibility, allowing for a healthy work-life balance. We invest in our employees' professional development through training, workshops, and conference attendance. Join a forward-thinking team dedicated to advancing AI infrastructure and operations, contributing to the technological growth of East London, Eastern Cape, ZA.