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!

In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms. In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.

In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code. Completes programming and implements efficiencies, performs testing and debugging. Completes documentation and procedures for installation and maintenance. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.

Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience. Can work with large‑scale computing frameworks, data analysis systems and modeling environments. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.

Engineers involved with artificial intelligence initiatives may be an appropriate match to this job family.

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
• 3+ years in ML infrastructure, Dev Ops, and software system architecture; 4+ years in leading MLOps or AI Ops platforms.
• 3+ years of experience with Python or any other OOPL.

• Strong 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…