Data / ML Platform Engineer
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
Kela is a defense technology startup pioneering next-generation command & control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence.
דרישות
- At least 3 years of experience in data engineering, MLOps, or backend engineering, building production systems
- Strong proficiency in Python, with experience writing production-grade code and pipelines
- Strong SQL skills and solid data modeling fundamentals
- Hands-on experience with Kubernetes and containerized deployments
- Experience with ML workflows in practice: training, evaluation, experiment tracking, and model deployment
- Comfortable working directly with customers or technical stakeholders, and able to turn an unclear request into a working solution
- Ability to work independently, and to move between building infrastructure and delivering a project
- Demonstrated full-stack “builder” mentality through professional or personal projects
- An algorithms background: able to build and run evaluations that compare models (for example, re-identification models) (advantage)
- Experience with a semantic layer (dbt Semantic Layer, Snowflake Semantic Views) or ontology technologies (for example, Palantir) (advantage)
- Experience with MLOps frameworks (for example, MLflow, Kubeflow, Airflow orchestration) (advantage)
- Experience with data lake architectures (Iceberg, Delta) and query engines (Snowflake, Athena, BigQuery) (advantage)