Senior AI Engineer
Core
Design, operate, and troubleshoot end-to-end data and ML pipelines in production environments for Financial Services clients.
Role type
Senior IC AI/ML Engineer (Data & MLOps)
Builds
Production-grade data and ML pipelines on Azure (Data Lake, Databricks, Synapse)
Domain
Financial Services / Cloud Data & AI
Deliverable
production ML models
Required skills
Python, SQL, PySpark/Spark, Azure (Data Lake, Databricks, Synapse), CI/CD, DevOps, Monitoring (logs, metrics), RBAC, Data validation
Preferred skills
French or Dutch, ML experimentation tools (MLflow, W&B)
Technologies
Azure, Databricks, Synapse, Spark, PySpark, Python, SQL, Git, MLflow, Weights & Biases
Responsibilities
Design and operate end-to-end data and ML pipelines; Integrate and run ML/AI models; Build and maintain batch and streaming pipelines; Monitor systems using logs, metrics, and alerts; Contribute to CI/CD pipelines and DevOps practices; Ensure idempotent processing and performance profiling; Apply data validation and sanity checks; Ensure observability through log and metric interpretation; Apply basic access control (RBAC) and secure data handling practices.
Seniority
Senior, hands-on IC