remote
AI/ML engineer - Sourcedear
ML Engineer
AI/ML Engineer focused on data analytics and machine learning operations, leveraging SQL, Python, PySpark, Azure Databricks, and Azure Data Factory to monitor pipelines, validate dashboards, and perform anomaly detection and root‑cause analysis.
About the role
Key Responsibilities
- Monitor and maintain batch data pipelines in Azure Databricks and Azure Data Factory.
- Validate and troubleshoot dashboards, ensuring data accuracy and performance.
- Detect anomalies in data streams and execute root‑cause analysis to resolve issues.
- Support end‑to‑end ML workflows, from data preparation to model deployment.
- Collaborate with cross‑functional teams to optimize data pipelines and analytics solutions.
Requirements
- 6+ years of experience in data engineering and machine learning operations.