AI / ML Engineer

Must-have skills 1. Production data pipelines: built and operated batch and streaming pipelines with Spark/PySpark and Kafka. 2. ML training: trained, evaluated and shipped models to production (gradient boosting, anomaly detection, sequence or graph models), with sound evaluation and attention to label quality. 3. Feature management: designed and run feature stores or feature pipelines, including point-in-time joins, feature versioning, training/serving consistency and backfills. 4. Model servi