Machine Learning Engineer

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.

• 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.

• Contrato a largo plazo.
• 100% Remoto.
• Vacaciones y PTOs
• Posibilidad de recibir 2 bonos al año.
• 2 revisiones salariales al año.
• Clases de inglés.
• Equipamiento Apple.
• Plataforma de cursos en linea
• Budget para compra de libros.
• Budget para compra de materiales de trabajo
• mucho mas..