ML Ops Enigneer / 1

We are seeking an advanced ML Ops Engineer to design and implement the infrastructure required to host, orchestrate, and manage up to 1,500 ML scoring processes within a new Databricks environment. The focus of the role is on operationalizing the ML scoring pipelines by setting up a scalable, secure, and well‑monitored platform for data science teams to deploy their models.

Environment Configuration

• Set up Databricks clusters, jobs, and workflows for large-scale ML scoring use cases.
• Infrastructure as Code is used for reproducibility and governance (e.g., Terraform).
• Implement scalable infrastructure capable of running thousands of ML scoring tasks.
• Configure job scheduling, parallel execution strategies, and resource optimization.
• Monitoring and alerting are integrated into the platform using cloud-native tools.
• Security, compliance, and cost-efficiency are key pillars of t...