AI/ML Engineer
2 weeks ago
- 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
Location
Singapore
Job Function
TECHNOLOGY
Role
Engineer
Job Id
378722
Desired Skills
Machine Learning
Desired Candidate Profile
Qualifications : Others
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