Software Engineer AI​/ML Ops

Get to Know Us

It's fun to work in a company where people truly believe in what they're doing!

At Black Line, we're committed to bringing passion and customer focus to the business of enterprise applications.

Since being founded in 2001, Black Line 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 Black Line 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.

Work, Play and Grow at Black Line!

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.

• 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 Five Tran, Plaid, and Black Line'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

• 2+ years of experience with programming skills in languages such as Python, Java, or Scala.
• Expertise in ML frameworks (Tensor Flow, 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 Lang Chain, Lang Graph, ADK or similar agentic system runtime management.
• Strong competencies in CI/CD, IaC, and Dev Sec Ops  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).

• 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 Dev Ops 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.

• A technology‑based company with a sense of adventure and a vision for the future. Every door at Black Line is open. Just bring your brains, your problem‑solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
• A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
• A culture where Black Liner's continued…