Senior MLOps/Data Engineer

Job summary

Own the end-to-end ML lifecycle on Azure and Databricks, collaborating with applied scientists to operate reliable models.

Qualifications

• Excellence in Python software engineering
• Fundamental understanding of Machine Learning
• 3+ years in Data Eng/MLOps roles
• Strong PySpark
• Hands-on with Databricks and Delta Lake
• CI/CD for data/ML
• Azure basics
• Monitoring and building dashboards
• Clear communication and operational-excellence mindset

Responsibilities

• Orchestrate and maintain ML pipelines
• Standardize experimentation using MLflow or similar tools
• Automate jobs with Databricks Workflows and CI/CD
• Implement data and model observability
• Ensure security and compliance
• Handle incidents and post-mortems for ML pipelines

Skills

Relocation