MLOps Engineer: Production ML Pipelines & Cloud Infra

Placements24; Queenstown; Sur place; NZD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health benefits

Retirement plan

Professional development

Team growth in Queenstown

Paid time off

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Python

Scripting

CI/CD

Docker

Kubernetes

Cloud platforms

ML concepts

Formation

Bachelor's or Master's degree

Outils

Docker

Kubernetes

CI/CD tools

Description du poste

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.