Remote MLOps & Data Engineer (Ontario/Quebec)

TRITON DIGITAL CANADA INC.

California

Hybrid

USD 71,000 - 89,000

Full time

12 days ago

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Benefits offered by this job

Fully remote position (Ontario or QC)
4 weeks vacation
5 paid personal days
Group insurance programs
RRSP matching
Internet reimbursement
CAD 100-125k budget

Job summary

Triton Digital Canada Inc. is seeking an MLOps Data Engineer to bridge data science and production systems. You will design and automate CI/CD pipelines, optimize large-scale data processing with Apache Spark, and leverage Databricks to deliver scalable ML solutions.

You will help turn listener intelligence into structured, queryable signals for advertising systems, ensuring reliability and cost-efficiency while collaborating with cross-functional teams in a fully remote role within Canada.

Qualifications

  • Experience in Data Engineering, MLOps, and DevOps roles.
  • Strong Python and Spark experience.
  • Databricks and Delta Lake expertise.
  • CI/CD and cloud platforms experience.
  • Kubernetes/OpenShift experience is a plus.

Responsibilities

  • Design, implement, and maintain CI/CD pipelines for ML workflows.
  • Build and optimize Spark data processing pipelines for large datasets.
  • Deploy and manage Databricks environments with cost optimization.
  • Collaborate with data scientists to productionize ML models and expose APIs.
  • Implement testing, monitoring, and alerting for ML pipelines.

Skills

Python
Apache Spark
Scala
CI/CD
English proficiency
Bilingual (English/French)
Cloud platforms
Kubernetes/OpenShift

Tools

Databricks
Delta Lake
PySpark
Spark Structured Streaming
GitHub Actions
Azure DevOps
Jenkins
GitLab CI
ArgoCD
OpenShift

Job description

Triton Digital Canada Inc. is seeking an MLOps Data Engineer to bridge data science and production systems. You will design and automate CI/CD pipelines, optimize large-scale data processing with Apache Spark, and leverage Databricks to deliver scalable ML solutions.

You will help turn listener intelligence into structured, queryable signals for advertising systems, ensuring reliability and cost-efficiency while collaborating with cross-functional teams in a fully remote role within Canada.

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