Lead Administrator (Support &Operations)

About the role

Machine learning Engineer and automation engineer Machine learning Engineer and automation engineer

What you'll do

• Develop and deploy end-to-end microservices-based solutions for batch and real-time algorithms, including monitoring, logging, automated testing, and performance testing
• Design, implement, and optimize MLOps pipelines using tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes
• Collaborate with Data Scientists to enhance the ML model development process and ensure performance improvements
• Ensure scalability, maintainability, and robustness of deployed machine learning models

What you need

• 3–6 yrs of experience
• Machine learning
• MLOps
• Docker
• Kubernetes
• Test automation
• GCP
• Any graduate

Good to have

• Performance testing
• CI/CD
• Microservices
• Data visualisation
• Prometheus
• Grafana