AI/ML Ops Engineer: Build Scalable Data Pipelines

BlackLine Systems Inc (U.S.); Pleasanton (TX); On-site; USD 145,000 - 182,000; Full time

Job summary

BlackLine Systems Inc is seeking a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines powering AI-driven accounting agents. You will lead the development of scalable data infrastructure and collaborate across teams to deliver reliable ML-driven solutions.

The role requires 2+ years of experience with Python/Java/Scala, ML frameworks, and cloud platforms (GCP/AWS/Azure). You will work with LangChain and ADK, implement CI/CD/IaC, and ensure observability with Prometheus,

Qualifications

• 2+ years of experience with Python, Java or Scala.
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow).
• Experience operating production ML/LLM pipelines on cloud platforms (GCP, AWS, Azure).
• Familiarity with LangChain, LangGraph, and ADK or similar agent runtimes.
• Strong CI/CD, IaC and DevSecOps practices with automation and testing.
• Hands-on with observability stacks (Prometheus, Grafana, NewRelic).
• Understanding governance for Responsible AI, auditability and cost metering.
• Containerization with Docker and Kubernetes.

Responsibilities

• Design, build, and optimize data pipelines powering AI-driven accounting agents.
• Develop PySpark ETL pipelines with high data quality.
• Connect to client data sources via APIs and internal connectors.
• Monitor pipeline performance, automate testing, and ensure data accuracy.
• Implement performance improvements for large-scale datasets.
• Collaborate with stakeholders to refine data requirements and integrate AI technologies.

Skills

Python

Java

Scala

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

ADK

CI/CD

IaC

DevSecOps

Prometheus

Grafana

NewRelic

Responsible AI

Auditability

Cost metering

Tools

Docker

Kubernetes

Job description

BlackLine Systems Inc is seeking a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines powering AI-driven accounting agents. You will lead the development of scalable data infrastructure and collaborate across teams to deliver reliable ML-driven solutions.

The role requires 2+ years of experience with Python/Java/Scala, ML frameworks, and cloud platforms (GCP/AWS/Azure). You will work with LangChain and ADK, implement CI/CD/IaC, and ensure observability with Prometheus,