Beschreibung
Plego is hiring a senior engineer to build data pipelines and take machine learning models into production. This is a remote, full-time, long-term role.
**The work**
* Build and maintain batch or streaming data pipelines (Airflow, dbt, Spark, Kafka)
* Model and manage data in a warehouse or lake (Snowflake, BigQuery, Redshift, Databricks)
* Train, evaluate, and deploy ML models (PyTorch, TensorFlow, scikit-learn)
* Serve models through APIs and keep them reliable with testing and monitoring
* Deploy on AWS, GCP, or Azure using Docker and CI/CD
**Requirements**
* 5+ years in data engineering, ML engineering, or a closely related field
* Strong Python and SQL
* Real production experience, not just notebooks
* Solid understanding of data modeling, system design, and testing
**Nice to have**
LLMs, RAG, vector databases, AI agents, MLflow, Kubeflow, SageMaker, Vertex AI, Terraform, FastAPI or Flask, data quality and observability tools, and any of Java, Scala, Go, or TypeScript.
**Budget**
$55,000 to $75,000 per year.
**How to apply**
Send me a DM with your resume, your LinkedIn and/or GitHub, and a short note on one or two data or ML projects you’ve taken to production, including something that went wrong and how you handled it.
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