ML Ops Engineer
As ABSC’s next TS/SCI-cleared Machine Learning (ML) Operations (Ops) Engineer, you will play a critical role in the design,... more info
ML Ops Engineer (Remote)
Salary:
100.00 - 125.00
Posted:
16-02-2025
Category:
Measurement Control Technology
Job Description
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 Requirements 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) Experience 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 Benefits Flexible remote work opportunities with career development opportunities Engagement with a supportive and collaborative global team Competitive market based salary Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr
Job Details
Salary: 100.00 - 125.00
Posted: 16-02-2025
Category: Measurement Control Technology
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