[HIRING] Senior AI/ML & Data Engineer | Remote | Full-time

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.