The MLOps Engineer will automate ML workflows, optimize AI operations, and manage infrastructure, ensuring efficient training, deployment, and monitoring of models.
About Us
Canibuild automates the residential construction industry’s design, approval, and sales processes, allowing clients to answer 'Can I build this on this plot of land?' instantly. As a fast-growing SaaS platform backed by Australia’s largest hedge fund, we serve clients across Australia, New Zealand, Canada, and the US.
Job Overview
The MLOps Engineer will establish and maintain AI/ML infrastructure, ensuring models are efficiently trained, deployed, and monitored. This role focuses on automating ML workflows, optimizing AI operations, and improving model reliability. The MLOps Engineer will work closely with the ML team and IT/Engineering to streamline AI deployment at Canibuild.
Key Responsibilities
- CI/CD for ML: Implement CI/CD pipelines for model training, testing, and deployment.
- Model Deployment & Monitoring: Develop scalable ML infrastructure to ensure reliable AI model performance.
- Automation & Infrastructure Optimization: Automate model retraining, versioning, and monitoring using MLflow, Kubeflow, or Airflow.
- Cloud & Containerization: Deploy ML models on cloud platforms (AWS, Azure, GCP) and manage Kubernetes/Docker environments.
- Data Engineering Support: Assist in optimizing data pipelines and integrating AI models with production systems.
- Security & Compliance: Ensure AI deployments adhere to security, governance, and compliance standards.
- Bachelor’s/Master’s in Computer Science, AI, or related field
- 4+ years in MLOps, AI infrastructure, or DevOps
- Strong expertise in CI/CD tools for ML (e.g., MLflow, Kubeflow, Airflow)
- xperience with cloud ML services (AWS SageMaker, Google Vertex AI, Azure ML)
- Proficiency in container orchestration (Docker, Kubernetes).
- Understanding of AI model monitoring, logging, and explainability frameworks
- Flexible remote work opportunities with career development opportunities
- Engagement with a supportive and collaborative global team
- Competitive market based salary
Top Skills
Airflow
AWS
Azure
Docker
GCP
Kubeflow
Kubernetes
Mlflow
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Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
