AI Engineer

• Strong proficiency in Python for ML pipelines, model serving, automation, and framework development
• Hands‑on experience with Apache Spark / PySpark for large‑scale data processing, feature engineering, and batch inference

• Proven experience building and operating end‑to‑end ML pipelines (training, validation, packaging, deployment, monitoring)
• Experience with config‑driven pipelines and reusable ML frameworks

• Experience deploying real‑time models exposed as REST APIs
• Hands‑on knowledge of HTTP‑based model serving (FastAPI, Flask, custom model servers, etc.)
• Strong understanding of low‑latency requirements, performance tuning, and scaling real‑time inference services
• Knowledge of streaming technologies such as Kafka, Pub/Sub, Spark Streaming, Logstash, or similar

Secondary Skill Set (Supporting / Good‑to‑Have)

• Experience with real‑time or near‑real‑time data ingestion pipelines

• Understanding of containerization and deployment using Docker, Kubernetes, or equivalent platforms
• Familiarity with Google Cloud Vertex AI
• CI/CD for ML, model versioning, reproducibility, governance