Machine Learning Engineer
Improving
Postular en Get on Board ↗La postulación se hace en la fuente original; WIAK no recibe postulaciones.
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- Ubicación
- Remoto (países elegibles no informados)
- Modalidad
- Remoto
- Jornada
- Jornada completa
- Publicado
- 3 nov
La fuente no informa: contrato, experiencia, sueldo, cierre.
Resumen
We are looking for an ML Engineer to join our data science and machine learning engineering team. The candidate will be responsible for designing, developing, and deploying advanced machine learning models, with an emphasis on clustering models, time series analysis, and complex heuristics.
Requisitos y detalle del puesto
- Strong production Python (3.12+), well beyond scripting-level.
- Snowflake: writing and optimizing SQL, with an understanding of schema, warehouse and role concepts. Key-pair (JWT) authentication experience is a plus.
- Docker: building and optimizing container images, including packaging ML artifacts and their dependencies.
- Kubernetes: deploying and operating workloads (pods, deployments, resource limits, networking basics), with hands-on experience building, scheduling and debugging CronJobs.
- AWS: working knowledge of core services (S3, IAM, boto3). EMR experience is a plus.
- Log- and metrics-based troubleshooting across scheduled jobs and services (Elastic, Datadog or equivalent).
- Testing discipline: pytest fluency and the ability to design meaningful edge-case tests.
- Git/GitHub workflow fluency: feature branching, pull requests, code review.
- Comfort working in a fast-moving agile team and communicating clearly in writing.
Dónde postular
- Get on Board ↗ · visto por primera vez el 31 oct
Última verificación en WIAK: 4 nov. Revisa siempre la vigencia en la fuente.