AI/ML Operations Engineer (MLOps)

Placements24; Benoni; Híbrido; ZAR 600 000 - 900 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical insurance

Retirement benefits

Paid time off

Career development

Hybrid work environment

Resumo da oferta

Placements24 seeks an AI/ML Operations Engineer (MLOps) to bridge model development and production deployment in Benoni, Gauteng. You will build and maintain automated ML pipelines, manage CI/CD, and ensure scalable, secure ML systems in production.

Requirements include a CS/engineering degree and 2+ years in MLOps or related roles, with strong Python, cloud, Docker, and Kubernetes experience. A hybrid work setup in Benoni is offered, with growth opportunities in AI initiatives.

Qualificações

• Requires a Bachelor's degree in CS/Engineering or related field.
• 2+ years in MLOps/DevOps or related role with ML focus.
• Proficient in Python scripting.
• Experience with cloud platforms and ML services.
• Familiarity with containerization and orchestration (Docker/Kubernetes).
• Knowledge of Terraform/Ansible is desirable.

Responsabilidades

• Design and maintain automated MLOps pipelines for model training and deployment.
• Implement infra and tools to support ML lifecycle.
• Develop model versioning, testing, and rollback strategies.
• Set up CI/CD for ML models and monitor production performance.
• Collaborate with data scientists to ensure production readiness and scalability.
• Integrate ML systems into existing DevOps processes and secure operations.
• Automate data preprocessing and feature engineering pipelines.

Conhecimentos

Python

Cloud platforms

Docker

Kubernetes

CI/CD tools

Terraform/Ansible

Formação académica

Bachelor's degree in CS/Engineering

Ferramentas

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

Descrição da oferta de emprego

About the Role

Our client is seeking a dedicated and skilled AI/ML Operations Engineer (MLOps) to bridge the gap between machine learning model development and production deployment. This role is crucial for ensuring the seamless, reliable, and efficient operation of our AI systems. You will be responsible for building and maintaining robust MLOps pipelines, automating workflows, and implementing best practices for monitoring and managing ML models in production. This is an excellent opportunity to contribute to cutting-edge AI initiatives and shape the operational landscape of machine learning at our organization, based in **Benoni, Gauteng, ZA**. You will work closely with data scientists and software engineers to accelerate the delivery of high-quality AI solutions.

Key Responsibilities

• Design, build, and maintain automated MLOps pipelines for model training, validation, deployment, and monitoring.
• Implement infrastructure and tools to support the machine learning lifecycle.
• Develop strategies for model versioning, testing, and rollback.
• Set up and manage CI/CD processes for machine learning models.
• Monitor ML model performance in production, identifying and resolving issues promptly.
• Collaborate with data scientists to ensure models are production-ready and scalable.
• Work with DevOps teams to integrate ML systems into existing infrastructure.
• Automate data preprocessing and feature engineering pipelines.
• Ensure the security, scalability, and reliability of ML systems.
• Stay current with MLOps best practices and emerging technologies.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree is a plus.
• 2+ years of experience in MLOps, DevOps, or a related role with a focus on machine learning.
• Proficiency in scripting languages such as Python.
• Experience with cloud platforms (AWS, Azure, GCP) and their MLOps services (e.g., SageMaker, Azure ML, Vertex AI).
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and workflows.
• Knowledge of infrastructure as code tools (e.g., Terraform, Ansible) is desirable.
• Strong problem-solving and troubleshooting skills.
• Ability to work effectively in a hybrid team environment in **Benoni, Gauteng, ZA**.

Benefits

Our client offers a competitive salary, comprehensive medical insurance, retirement benefits, and numerous opportunities for skill development and career advancement. Employees benefit from a dynamic work environment, exposure to advanced AI technologies, and a supportive team culture. We provide ample paid time off and are committed to fostering a work-life balance for all our employees.