Machine Learning Operations (MLOps) Engineer

Placements24; George; Híbrido; ZAR 600 000 - 1 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Health benefits

Retirement savings plan

Generous paid time off

Hybrid work model

George, Western Cape office

Resumo da oferta

Placements24 in George, Western Cape seeks an experienced MLOps Engineer to bridge ML development and production deployment. You will design and maintain scalable pipelines, automate the ML lifecycle, and implement CI/CD for ML models, ensuring reliable, monitored deployments in hybrid office settings.

You will collaborate with data scientists and engineers, manage cloud-based infrastructure, and uphold best practices for reproducibility and testing in ML projects.

Qualificações

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 3+ years in software engineering or DevOps with a strong focus on MLOps.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proficiency in Python scripting.
• Experience with Docker, Kubernetes and CI/CD tools such as Jenkins, GitLab CI or GitHub Actions.
• Understanding of ML concepts, model development and deployment challenges.
• Familiarity with ML monitoring tools and techniques.
• Strong problem-solving and analytical skills; excellent communication.

Responsabilidades

• Design, build, and maintain scalable MLOps pipelines for model training, validation, deployment, and monitoring.
• Automate and optimize the machine learning lifecycle, from data ingestion to model retraining.
• Implement CI/CD practices for machine learning models.
• Develop and manage infrastructure for ML experimentation and production environments.
• Monitor model performance in production, identify drift, and retrain/update models.
• Collaborate with data scientists and software engineers to ensure smooth deployment and integration.
• Establish best practices for version control, testing, and reproducibility of ML projects.
• Troubleshoot and resolve issues related to ML systems and infrastructure.

Conhecimentos

Python

CI/CD practices

MLOps

Cloud platforms

Docker

Kubernetes

GitHub Actions

GitLab CI

Jenkins

Communication

Formação académica

Bachelor's degree in Computer Science or related field

Master's degree in related field

Ferramentas

Docker

Kubernetes

Jenkins

GitLab CI

GitHub Actions

AWS

Azure

GCP

Descrição da oferta de emprego

About the Role

Our client, a leading innovator in AI-driven solutions, is seeking an experienced Machine Learning Operations (MLOps) Engineer to join their team in George, Western Cape. This role is vital for bridging the gap between machine learning development and reliable production deployment, ensuring our models are efficiently managed, monitored, and scaled. You will be responsible for designing, implementing, and maintaining robust MLOps pipelines and infrastructure, enabling seamless integration of ML models into our client's products and services. The position is based in our George, Western Cape office, with a hybrid work model offering a blend of in-office collaboration and remote flexibility. We are looking for a candidate with a strong background in both software engineering and machine learning, passionate about automating and streamlining the ML lifecycle. This is a fantastic opportunity to work on challenging projects and contribute to the operational excellence of our client's AI initiatives.

Key Responsibilities

• Design, build, and maintain scalable MLOps pipelines for model training, validation, deployment, and monitoring.
• Automate and optimize the machine learning lifecycle, from data ingestion to model retraining.
• Implement CI/CD practices for machine learning models.
• Develop and manage infrastructure for ML experimentation and production environments (e.g., cloud-based platforms).
• Monitor model performance in production, identify drift, and implement strategies for retraining and updating models.
• Collaborate closely with data scientists and software engineers to ensure smooth model deployment and integration.
• Establish best practices for version control, testing, and reproducibility of ML projects.
• Troubleshoot and resolve issues related to ML systems and infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• Proven experience (3+ years) in software engineering or DevOps, with a strong focus on MLOps.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Proficiency in scripting languages such as Python.
• Experience with containerization technologies (Docker, Kubernetes) and CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts, model development, and deployment challenges.
• Familiarity with ML monitoring tools and techniques.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Benefits

• Our client offers a competitive salary, comprehensive health benefits, and a retirement savings plan.
• Employees benefit from generous paid time off and opportunities for professional development.
• The hybrid work model allows for a flexible work-life balance.
• The George, Western Cape office provides a modern and collaborative work environment.
• We foster a culture of innovation and continuous learning.