Jobs · Information Technology · California

Software Engineer AI/ML Ops

BlackLine · Pleasanton, CA · 1 wk ago
HybridInformation Technology$145k/yrFull-time

Work, Play and Grow at BlackLine!

Responsibilities

  • Data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
  • Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem
  • Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
  • Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
  • Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies

What You'll Bring

  • 2+ years of experience with programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
  • Proficiency in containerization technologies (e.g., Docker, Kubernetes)

What We're Even More Excited If You Have

  • Operations and Infrastructure: Proficient in scripting languages (e.g., Bash, python) for automation
  • Experience with workflow orchestration tools (e.g., Apache Airflow)
  • Expertise in managing and optimizing cloud-based infrastructure
  • Familiarity with DevOps practices and tools for automated deployment
  • Understanding of network configurations and security protocols

Salary Range

USD $145,000.00/Yr. - USD $182,000.00/Yr.

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