MLOPs Engineer at Clio

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, Legal TechnologyIndustries

Requirements

Strong Python or Ruby development skills, with experience building production-grade applications, services, or ML tooling
Expertise in cloud infrastructure (AWS, GCP, or Azure), including Kubernetes, and infrastructure-as-code (Terraform, Helm, or similar)
Experience with CI/CD and automating model training, testing, and deployment pipelines
Solid understanding of machine learning and GenAI concepts, workflows, and lifecycle management
Demonstrated ability to contribute to the design and delivery of robust, scalable solutions from concept through implementation
Familiarity with GenAI observability tools (logging, metrics, tracing) to monitor and debug AI systems
Awareness of ML governance, responsible AI, and best practices for secure, compliant AI operations
Proficient in developing and utilizing guardrails to ensure safe, reliable, and compliant GenAI operations
Experience working with Sagemaker and Agentic Frameworks (Pyndantic) is a bonus

Responsibilities

Build and deploy LLM-based solutions that help Clio’s clients save time and improve operational efficiency
Collaborate cross-functionally with engineering, product management, operations, and data science to identify and develop new ML-driven features
Work agilely alongside MLOps, MLE, and full stack developers on diverse projects spanning multiple engineering teams across three countries
Evaluate and integrate new ML tools and frameworks to accelerate experimentation and optimize operations
Troubleshoot and resolve production issues such as data drift and model latency using observability tools and logs
Participate in design reviews and contribute to architectural decisions shaping Clio’s AI platforms
Engage in code reviews within your team and across the company, providing and receiving constructive feedback to maintain high standards
Continuously learn, challenge yourself, and grow as a machine learning expert while mentoring and collaborating with teammates

Skills

MLOps

LLM

Generative AI

CI/CD

Observability

Cloud Infrastructure

Software Engineering

Model Governance

Data Drift

Model Latency

Clio

Legal practice management software provider

About Clio

Clio provides legal practice management software that helps law firms operate more efficiently. Its two main products, Clio Grow and Clio Manage, serve different purposes: Clio Grow enhances the client intake process and engagement, while Clio Manage allows firms to organize tasks, manage cases, handle documents, and process payments in one platform. Clio caters to a diverse clientele, from solo practitioners to large firms, and operates on a subscription model, charging users monthly or annually for access to its software. The goal of Clio is to improve the efficiency of legal practices and reduce administrative burdens, ultimately supporting their growth.

Burnaby, CanadaHeadquarters

2008Year Founded

$1,279.9MTotal Funding

SERIES_FCompany Stage

LegalIndustries

1,001-5,000Employees

Benefits

Company equity

401k

Parental leave options and stipend

Flexible paid time off

Stipend to support WFH

Various wellness benefitsand programs

Risks

Emerging AI-driven legal tech startups could challenge Clio's market share.

Staying private may limit Clio's access to public market capital.

Significant investment in AI and expansion may strain Clio's resources.

Differentiation

Clio offers a comprehensive suite for law firm management, including client intake and payments.

Clio's products, Clio Grow and Clio Manage, streamline operations for legal professionals.

Clio's cloud-based platform supports solo practitioners and large law firms alike.

Upsides

Clio raised $900M in 2024, marking the largest Canadian software funding round.

Clio plans to enhance AI capabilities and expand into international markets.

Clio's subscription model generates $200M in annual recurring revenue.

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