Software Engineer AI​/ML Ops

Make Your Mark:

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.

• Build and maintain PySpark ETL pipelines with high data quality and performance.
• Establish robust connections to client data sources via APIs and tools like Five Tran, Plaid, and Black Line's 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.

• 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 adapt.

• 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.

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Placement within this range depends upon several factors, including the applicant's prior relevant job experience, skill set, and geographic location.

In addition to base pay, Black Line also offers short‑term and long‑term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.

Black Line is committed to creating an inclusive and accessible experience for all candidates. If you require a reasonable accommodation that would better enable your success during the application or interview process, please complete this form.

Black Line is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.