Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

*This position is remote-first within Canada. To be eligible, you must be based in Canada and authorized to work here. Relocation assistance is not available.

About the Role

As a Software Engineer on the Data Platform team, you will design and develop orchestration systems that enable real-time, offline, and batch workflows for AI, ML, and data workloads. You’ll work with cross-functional partners and internal product teams to deliver reliable, scalable, and easy-to-use infrastructure that accelerates model development and deployment.

The Client's Data Platform powers the machine learning, AI, and data services that enable intelligent experiences across the client's products. As a Software Engineer focused on MLOps, you’ll help build the unified orchestration layer that powers large-scale data and ML workflows across the client's company. Leveraging cutting-edge open source technologies such as Ray and Spark, you’ll design and implement scalable systems that enable teams to train models, analyze data, and deploy AI at scale with strong governance. This is an opportunity to shape the future of ML infrastructure and have a direct impact on the experiences used by millions of people every day.

Responsibilities:

• Design, implement, and maintain end-to-end ML pipelines from data ingestion to model deployment and monitoring
• Build and optimize automated training, validation, and deployment workflows that support rapid experimentation and production releases
• Develop robust monitoring and alerting systems to ensure model performance, data quality, and system reliability
• Create self-service tools and platforms that enable ML teams to deploy and manage models independently
• Implement security and privacy controls throughout the ML lifecycle, ensuring compliance with client's high standards
• Collaborate with diverse teams including accessibility specialists to ensure ML tools are usable by team members with varying abilities
• Drive infrastructure cost optimization and resource efficiency across ML workloads
• Establish best practices for model governance, including versioning, rollback strategies, and A/B testing frameworks
• Build documentation and training materials that support teams with different technical backgrounds

About You

The essentials:

• Experience designing, building, and maintaining ML infrastructure and deployment pipelines using containerization technologies (Docker, Kubernetes preferred) and cloud platforms (AWS, Azure, or GCP)
• Proficient coding skills in Python, Go, or Scala with experience in ML frameworks (TensorFlow, PyTorch)
• Strong experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Proficiency in monitoring and observability tools (Prometheus, Grafana, ELK stack) for ML model performance and system health
• Experience with data pipeline orchestration tools (Airflow, Dagster) and streaming platforms (Kafka, Kinesis)
• Knowledge of ML model versioning, experiment tracking, and feature stores (MLflow, Weights & Biases, Feast)
• Experience with automated testing frameworks for ML systems, including data validation and model testing
• Understanding of security best practices for ML systems and data governance
• Excellent grasp of software engineering fundamentals and DevOps practices
• Proficient knowledge of Git and collaborative development workflows
• BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience
• 14+ years of professional experience
• 3+ years of experience in MLOps, DevOps, or related infrastructure roles
• Experience working in cross-functional teams and communicating technical concepts to diverse audiences

#LI-MJ1 #LI-remote

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting. .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

What We Offer

Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary Range$110,000—$137,000 CAD

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.