Staff AI Operations Engineer

Get to Know Us:
It's fun to work in a company where people truly believe in what they're doing!
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.
Work, Play and Grow at BlackLine!
Make Your Mark:
We're just starting out on this journey with Generative AI and looking to build the founding ML/AI team that will bring the power of AI to BlackLine's customers .
As a AI Operations Engineer, you will play a pivotal role in bridging the gap between data science and production environments. This position requires a strong background in machine learning, software engineering, and operations to ensure the successful deployment, monitoring, and maintenance of machine learning models. You will collaborate with cross-functional teams to streamline the machine learning lifecycle, ensuring seamless integration into operational systems.
You'll Get To:
AI System Deployment and Integration:

• Lead the deployment of AI models and systems in various environments.
• Collaborate with development teams to integrate AI solutions into existing workflows and applications.
• Ensure seamless integration with different platforms and technologies.

Model Deployment and Integration :

• Lead the deployment of machine learning models into production environments, ensuring scalability, reliability, and efficiency.
• Collaborate with software engineers to integrate machine learning models into existing applications and systems.
• Implement and maintain APIs for model inference and data input/output.

Infrastructure and Environment Management :

• Manage and optimize the infrastructure required for machine learning operations in cloud.
• Work closely with other teams to ensure the availability, security, and performance of machine learning systems.

Monitoring and Maintenance:

• Implement robust monitoring solutions for deployed machine learning models to detect issues and ensure performance.
• Collaborate with data scientists and engineers to address and resolve model performance and data quality issues.
• Conduct regular system maintenance, updates, and optimizations to ensure optimal performance of machine learning solutions.

Automation and Orchestration:

• Develop and maintain automation scripts and tools for managing machine learning workflows.
• Implement orchestration systems to streamline the end-to-end machine learning lifecycle, from data preparation to model deployment.

Collaboration with Data Science Teams:

• Collaborate with data scientists to understand model requirements and constraints for deployment.
• Facilitate the transition of machine learning models from research to production, ensuring scalability and efficiency.

Performance Optimization:

• Identify and implement optimizations to enhance the performance and efficiency of machine learning models in production.
• Conduct performance analysis and implement improvements based on resource utilization metrics.

Security and Compliance:

• Implement security measures to protect machine learning systems and data.
• Ensure compliance with regulatory requirements and industry standards related to machine learning and data privacy.

What You'll Bring:
Education and Experience :

• Bachelor's or master's degree in computer science , Machine Learning, Data Science, or a related field.

Technical Skills :

• Strong programming skills in languages such as Python, Java, or Scala.
• 5-8+ years of hands-on e xperience in efficiently implementing machine learning projects in frameworks such as TensorFlow, P yTorch , or scikit-learn.
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms, such as AWS Sagemaker , Azure ML , or Google Cloud vertex .

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. 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.

We're Even More Excited If You Have:
Prior working experience with appliances such as firewalls, routers and load balancers.
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'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 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.

BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, 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 2 days a week.
Salary Range:
USD $160,000.00 - USD $246,600.00
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.