Software Engineer AI/ML Ops

Blackline Systems Inc; New York (NY); On-site; USD 145,000 - 182,000; Full time

Benefits offered by this job

Incentive programs

Pay transparency

Job summary

BlackLine is seeking a Software Engineer, AI/ML Ops to design, build, and optimize data pipelines powering its next-generation AI-driven accounting agents. You will lead scalable, high-performance data infrastructure and collaborate across teams.

You will work with Python/Scala/Java, ML frameworks, and modern orchestration tools to operate production pipelines for ML/LLM systems across GCP, AWS and Azure, with a focus on reliability, governance, and cost-efficiency.

Qualifications

• 2+ years of programming experience in Python, Java or Scala.
• Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Proficient with orchestration tools: Airflow, Kubeflow, Vertex AI, MLflow.
• Production ML/LLM pipelines across cloud platforms (GCP, AWS, Azure).
• Familiarity with LangChain, LangGraph, ADK.
• CI/CD, IaC, and DevSecOps practices.
• Observability stacks: Prometheus, Grafana, New Relic.
• Governance for Responsible AI, auditability, and cost metering.
• Containerization with Docker and Kubernetes.

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 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.

Skills

Python

Java

Scala

TensorFlow

PyTorch

scikit-learn

Airflow

Kubeflow

Vertex AI

MLflow

GCP

AWS

Azure

LangChain

LangGraph

ADK

CI/CD

IaC

DevSecOps

Prometheus

Grafana

New Relic

Responsible AI

Auditability

Cost metering

Docker

Kubernetes

Tools

FiveTran

Plaid

Job description

Overview

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.

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 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

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)

Preferred Qualifications

• 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
• Problem-solving and Critical Thinking:
• Ability to define problems, collect and analyze data, and propose innovative solutions with strong critical thinking skills to evaluate models and identify limitations
• Adaptability and Learning Agility:
• 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

Thrive at BlackLine Because You Are Joining

• A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world\u2019s 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 BlackLiner\'s continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

Equal Opportunity

BlackLine 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.

BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.

Salary

Salary Range: $145,000.00-$182,000.00

Pay Transparency

Pay Transparency Statement: 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, BlackLine also offers short-term and long-term incentive programs, based on eligibility, along with a robust offering of benefit and wellness plans.

We are committed to pay transparency and ensuring candidates have clear information about compensation expectations. For roles that include variable incentive components such as an Incentive Compensation Plan (ICP) or On-Target Earnings (OTE), the compensation structure may follow a split model - for example, a 50/50, 70/30, or 60/40 ratio between base salary and variable incentive.

BlackLine 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.

Accommodations

BlackLine 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.