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
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Sr. QA Analyst will execute QA processes for high-quality software, utilizing QA automation and SDLC expertise, ensuring applications meet business requirements.
Top Skills:
Adobe Experience CloudCucumberCypressJavaJIRAPercySelenium
Agency • Digital Media • eCommerce • Professional Services • Software • Analytics • Consulting
As a Cloud Engineer, you will build and maintain cloud infrastructure, automate processes, ensure security, and support development teams with CI/CD and release management.
Top Skills:
AWSAws LambdaCi/CdCloudfrontCloudwatchDockerEc2EcsEksIaasIamKubernetesNew RelicNoSQLRdsRoute53S3SnsSQLSslTerraformVpcWaf
Agency • Digital Media • eCommerce • Professional Services • Software • Analytics • Consulting
As a Senior Frontend Developer, you'll lead the development of scalable frontend solutions, integrate components, optimize performance, and troubleshoot issues while collaborating with teams to enhance user experience.
Top Skills:
AngularEmber)GitGraphQLGulpJs Frameworks (ReactNextjsNosql DatabasesRelational DatabasesRestful ApisVuejsWebpack
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
