Senior Machine Learning Engineer

Software Technology Inc. is a company focused on innovative technology solutions, and they are seeking a Senior Machine Learning Engineer to design and deploy advanced machine learning models. The role involves monitoring model performance, implementing statistical monitoring, and integrating machine learning signals into existing frameworks.

Responsibilities:

• Design and deploy anomaly detection models for numerical, categorical, and time-series data
• Implement statistical drift monitoring across pipeline runs and data partitions
• Build ML-based completeness prediction and consistency check models
• Integrate ML DQ signals into the broader DQ alerting framework
• Monitor model performance, retrain on new data patterns, and manage model lifecycle
• Document model behaviour and communicate anomaly signals to the DQ team

Requirements:

• Data science or ML engineering, with production model experience
• Proficient in Python, PySpark, and MLflow on Databricks
• Experience with anomaly detection, statistical process control, or data drift frameworks
• Familiarity with feature stores and MLOps practices
• Ability to explain model outputs to non-technical stakeholders