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Jarvis Consulting Group

Senior Databricks Engineer (ML/AI)

Toronto, ON, Canada

$90 to $120 CAD / hour · Contract

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Job details

Pay: $90 to $120 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Jarvis Consulting has an immediate need for a Senior ML/AI Databricks Engineer.

The ideal candidate will have 5+ years MLOps, data engineering, or ML platform experience, deep Databricks expertise, strong Python + SQL and experience building reusable ML components, templates, and standardized deployment patterns.

In this role you will design and implement the Databricks AI layer of our client's platform, establishing standardized project setup, CI/CD promotion gates, model registry discipline, and deployment runbooks that the entire ML org can reuse. This is platform engineering, not individual model work.

Responsibilities

Design the Databricks AI platform layer: project templates, promotion gates, model registry patterns
Implement CI/CD pipelines and deployment automation for Databricks jobs and models
Establish governance and monitoring: who deploys what, how is model performance tracked, what are the rollback procedures
Lead IDP (Intelligent Document Processing) delivery: use case design, Databricks implementation, and handoff to ops team
Mentor the junior engineers on the team
Collaborate with the Azure AI Foundry and Power Platform specialists to unify governance and deployment across all AI workloads

Required Skills

Databricks 'expert' with expertise in MLflow, Delta Lake, model registry, job scheduling, CI/CD
Excellent Python and SQL skills
Experience designing reusable ML infrastructure/platforms (not building one-off models)
Comfortable in ambiguous environments; ability to define best practices from first principles

Preference will be given to candidates with Databricks Certification (Champion preferred)

This is a hybrid role with 2-3 days/week required on site in downtown Toronto.

The initial contract term is 12 months.

Apply today to learn more!

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More about this job

Responsibilities

Design and implement a reusable Databricks AI platform layer, including project templates, CI/CD promotion gates, model registry patterns, deployment automation, governance, monitoring, and rollback procedures. Lead Intelligent Document Processing delivery, mentor junior engineers, and collaborate with Azure AI Foundry and Power Platform specialists to align governance and deployment across AI workloads.

Requirements

Candidates need 5+ years of MLOps, data engineering, or ML platform experience, expert-level Databricks knowledge, and strong Python and SQL skills. They should have experience building reusable ML infrastructure and deployment patterns; Databricks certification is preferred, with Champion certification especially valued.

Skills

Databricks
MLOps
Python
SQL
MLflow
Delta Lake
Model Registry
CI/CD
Data Engineering
Machine Learning Platforms
Job Scheduling
Deployment Automation
Governance and Monitoring
Azure AI Foundry
Power Platform

Visa sponsorship

Not detected in the job text

Keywords

Databricks
MLOps
Data Engineering
Machine Learning
AI
MLflow
Delta Lake
Model Registry
Python
SQL
CI/CD
Job Scheduling
Deployment Automation
Project Templates
Promotion Gates
Governance
Monitoring
Rollback Procedures
Azure AI Foundry
Power Platform
Databricks Certification
Platform Engineering
Reusable ML Infrastructure
Contract
Hybrid Work

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