Machine Learning Operations (MLOps) Engineer

Placements24; Queenstown; On-site; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Professional development

Team growth in Queenstown

Paid time off

Job summary

Placements24 seeks a skilled MLOps Engineer to join the Queenstown team, bridging ML model development and production deployment. You will design robust pipelines and automation across the full ML lifecycle.

You will collaborate with data scientists and software engineers, containerize apps with Docker, orchestrate with Kubernetes, and manage cloud infra (AWS/Azure/GCP). This role offers exposure to cutting-edge AI technologies and strong growth opportunities.

Qualifications

• Degree in Computer Science, Engineering, or a related field.
• 3+ years in software engineering, DevOps, or MLOps.
• Proficiency in Python and scripting languages.
• Experience with cloud platforms (AWS, Azure, or GCP) and ML services.
• Hands-on Docker and Kubernetes experience.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Understanding of ML concepts and workflows.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) is a plus.

Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, monitoring, and management of ML models in production.
• Implement infrastructure and tools for ML experimentation and versioning.
• Collaborate with data scientists and engineers to streamline the ML workflow.
• Develop and manage monitoring systems for model performance and drift.
• Ensure the reliability, scalability, and security of ML production environments.
• Containerize ML applications using Docker and orchestrate with Kubernetes.
• Manage cloud infrastructure (AWS, Azure, or GCP) for ML workloads.
• Contribute to the definition and adoption of MLOps best practices.

Skills

Python

Scripting

CI/CD

Docker

Kubernetes

Cloud platforms

ML concepts

Education

Bachelor's or Master's degree

Tools

Docker

Kubernetes

CI/CD tools

Job description

About the Role

Our client is seeking a skilled Machine Learning Operations (MLOps) Engineer to join their innovative team in **Queenstown, Eastern Cape**. This role is crucial for bridging the gap between machine learning model development and production deployment. You will be responsible for building and maintaining robust, scalable, and automated pipelines for the entire ML lifecycle. The **AI & Emerging Technologies** domain requires efficient and reliable deployment of ML models, and your expertise will be vital in achieving this. You will work closely with data scientists and software engineers to ensure seamless integration and operation of ML solutions. This position offers a significant opportunity to contribute to the operational excellence of AI systems within a forward-thinking organization located in **Queenstown, Eastern Cape**.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines for machine learning models.
• Automate the deployment, monitoring, and management of ML models in production.
• Implement infrastructure and tools for ML experimentation and versioning.
• Collaborate with data scientists and engineers to streamline the ML workflow.
• Develop and manage monitoring systems for model performance and drift.
• Ensure the reliability, scalability, and security of ML production environments.
• Containerize ML applications using Docker and orchestrate with Kubernetes.
• Manage cloud infrastructure (AWS, Azure, or GCP) for ML workloads.
• Contribute to the definition and adoption of MLOps best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in software engineering, DevOps, or MLOps.
• Proficiency in Python and scripting languages.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Hands-on experience with containerization technologies (Docker) and orchestration (Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Understanding of machine learning concepts and workflows.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
• Strong problem-solving and collaboration skills.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health and retirement benefits.
• Opportunity to work in the exciting field of **AI & Emerging Technologies**.
• Professional development and training opportunities.
• Be part of a growing team in **Queenstown, Eastern Cape**.
• Contribute to the operational success of cutting-edge AI solutions.
• Collaborative work environment.
• Paid time off and company holidays.