Senior AI/ML Engineer — Scalable Data Pipelines

Blackline Systems Inc; New York (NY); Hybrid; USD 145,000 - 182,000; Full time

Job summary

BlackLine seeks a Senior AI/ML Engineer to design, build, and optimize large-scale data pipelines powering AI-driven accounting agents. You will lead scalable data infrastructure and collaborate across teams to deliver reliable ML solutions in production.

You'll drive end-to-end model deployment, monitoring, and governance while advancing agentic runtimes and observability. This role offers a hybrid work model with strong focus on security, reliability, and performance.

Qualifications

• 3+ years of Python/Java/Scala in production ML pipelines.
• Experience building PySpark ETL pipelines.
• Experience deploying ML/LLM-based systems on cloud platforms.
• Familiarity with governance, security, and data privacy in ML.

Responsibilities

• Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance.
• Manage integrations: Connect client data sources via APIs and tools like FiveTran and Plaid.
• Ensure reliability: Monitor pipeline performance, automate tests, validate data accuracy.
• Optimize for scale: Improve performance with CDC, indexing for large datasets.
• Collaborate with data science, security, and product teams to refine data requirements and AI workflows.
• Lead incident response and reliability strategies for ML/AI systems.

Skills

Python

Java

Scala

ML frameworks

CI/CD

Observability

Containerization

Agentic runtimes

Tools

PySpark

Airflow

Kubeflow

MLflow

Vertex AI

Docker

Kubernetes

Prometheus

Grafana

FiveTran

Plaid

Job description

BlackLine seeks a Senior AI/ML Engineer to design, build, and optimize large-scale data pipelines powering AI-driven accounting agents. You will lead scalable data infrastructure and collaborate across teams to deliver reliable ML solutions in production.

You'll drive end-to-end model deployment, monitoring, and governance while advancing agentic runtimes and observability. This role offers a hybrid work model with strong focus on security, reliability, and performance.