Software Engineer AI/ML Ops
About The Position
We’re looking for a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines that power our next-generation AI-driven accounting agents. You’ll lead the development of scalable, high-performance data infrastructure while collaborating closely across teams. At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications. Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance. Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.
Requirements
- 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).
Nice To Haves
- 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.
- Ability to define problems, collect and analyze data, and propose innovative solutions.
- Strong critical thinking skills to evaluate models, identify limitations, and
- Comfortable working in a fast-paced, rapidly evolving environment.
- Proactive in staying up to date with the latest trends, techniques, and technologies in AI/data science
Responsibilities
- Build and maintain PySpark ETL pipelines with high data quality and performance
- Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine’s own internal connector ecosystem
- Monitor pipeline performance, automate testing, and validate data accuracy
- Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
- Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Benefits
- short-term and long-term incentive programs
- robust offering of benefit and wellness plans
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
