Description
Coretek is seeking a Senior Engineer, Machine Learning and Data to build and operationalize Microsoft Fabric-first data science and MLOps platforms for enterprise clients. This is a platform engineering role rather than a model development role. You will build the governed environments, pipelines, CI/CD automation, data quality gates, and observability that allow client data science teams to move batch prediction and forecasting workloads from a notebook into scheduled, monitored production execution.
You will work as part of a distributed delivery team alongside US-based architects and project managers, implementing against an agreed architecture and owning significant technical workstreams end to end. Success in this role means the platform runs unattended, reproducibly, and under service identity, with transparent runbooks that let the client operate it after handoff.
Key Responsibilities
Build Microsoft Fabric workspace structures spanning Sandbox, Dev/Staging, and Production, including workplace isolation, workspace naming and ownership,



and Fabric RBAC patterns mapped to Entra ID groups.
Implement governed read access to enterprise data warehouse sources and controlled write-back into data science owned schemas, covering feature tables, model version metadata, model artifact references, prediction outputs, and experiment structures.
Develop reusable batch prediction pipeline templates covering data extraction, feature preparation, data quality validation, model execution, output validation, table write-back, and alerting.
Build forecasting pipeline patterns where they diverge from standard batch scoring, including time-series inputs, rolling forecasts, and horizon-based outputs.
Implement CI/CD for notebooks and platform assets: Git integration for Fabric, branching and pull request standards, automated unit and integration tests, Fabric deployment pipelines, Azure DevOps pipelines where Fabric-native capability falls short, and a single manual approva

📌 Senior Engineer (Kondapur)
🏢 Coretek Services
📍 Kondapur