AI ML Engineer

Experience working on machine learning platforms or feature stores.

Hands-on experience with vector databases (e.g., FAISS, Milvus), graph databases (e.g., Neo4j), or time-series databases (e.g., InfluxDB, Prometheus).

Experience with one or more of the following: BigQuery, HBase, Aerospile, Kafka, Flink, Spark (or Dataproc), or similar systems.

Solid understanding of the AI/ML development lifecycle, with familiarity in MLOps practices such as model deployment, serving, and monitoring.

Knowledge about public cloud infrastructure such as Google cloud platform is a strong plus

Knowledge of data governance, access control, and privacy practices in feature/data platforms.

Contributions to open-source ML infrastructure or platform projects is a plus.

Java + Springboot or Python