Production ML Systems Engineer (Airflow & Pipelines)

Jobtailor; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor in New York is seeking an ML Engineer to build and maintain production pipelines for training, validation, promotion, and batch inference of ML models. You will craft Airflow DAGs within an MLOps framework across staging, shadow, and production environments.

Strong Python, code hygiene, testing, and SQL with cloud data warehouses are essential. PyTorch and distributed compute experience are a bonus; e-commerce/logistics exposure is valued.

Qualifications

• 1–3 years shipping production ML systems; internships count.
• Hones Python skills with production-grade code quality.
• Experience with batch data pipelines and ML orchestration tools.
• Familiar with SQL and cloud data warehouses (BigQuery/Snowflake/Redshift).
• Understanding ML lifecycle from data to deployment.
• PyTorch or similar DL framework is a plus.
• Experience in e-commerce, shipping, or logistics is a bonus.
• Ability to collaborate across teams with clear communication.

Responsibilities

• Build and maintain training, validation, promotion, and batch-inference pipelines for production ML models.
• Write and extend Airflow DAGs within the templatized MLOps framework across staging, shadow, and production environments.
• Run backtests and tune model outputs against business targets.
• Contribute to model migrations onto internal ML platforms and configurations.
• Triage and debug production incidents affecting model-driven surfaces.
• Coordinate fixes with partner teams.
• Improve observability through dashboards, data-quality tags, and alert hygiene.
• Write PRs, design documents, and runbooks.
• Participate in on-call rotation for model-health and data-quality alerts.
• Collaborate with engineers, data scientists, product managers, and designers.
• Develop ML systems supporting shipping-related signals.

Skills

Python

Airflow

SQL

Code hygiene

Batch data pipelines

ML lifecycle

PyTorch

Distributed compute

Tools

Airflow

BigQuery

Snowflake

Redshift

Dagster

Prefect

Kubeflow

Dagster

Dagster

Job description

Jobtailor in New York is seeking an ML Engineer to build and maintain production pipelines for training, validation, promotion, and batch inference of ML models. You will craft Airflow DAGs within an MLOps framework across staging, shadow, and production environments.

Strong Python, code hygiene, testing, and SQL with cloud data warehouses are essential. PyTorch and distributed compute experience are a bonus; e-commerce/logistics exposure is valued.