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Added 37 mins ago
CT
Lead/Senior Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
Our client is seeking an experienced, hands-on Senior Data Engineer to help build and scale the enterprise data foundation supporting Analytics, AI, and self-service decision-making across…
Added 2 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Added 2 hours ago
B
Security Engineer
Baseten
Montreal, QC
- $150,000 to $250,000 USD / year
- Full-time
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As…
Added 2 hours ago
B
Software Engineer - Infrastructure
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 2 hours ago
B
Frontend Engineer - Dedicated Inference
Baseten
Montreal, QC
- $190,000 to $300,000 USD / year
- Full-time
We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and…
Added 2 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Added 2 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 2 hours ago
B
Cloud Platform Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating…
Added 2 hours ago
B
Software Engineer - GPU Kernels
Baseten
Montreal, QC
- $180,000 to $360,000 USD / year
- Full-time
We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As…
Added 2 hours ago
B
Software Engineer - Model Performance Systems
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
Added 2 hours ago
B
Software Engineer - Infrastructure
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core…
Added 2 hours ago
B
Security Engineer
Baseten
Toronto, ON
- $150,000 to $250,000 USD / year
- Full-time
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As…
Added 2 hours ago
B
Software Engineer - Dedicated Inference
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As an Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs,…
Added 2 hours ago
B
Forward Deployed Engineer
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own…
Added 2 hours ago
B
Software Engineer - GPU Networking & Distributed Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Added 2 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Added 2 hours ago
B
Software Engineer - Model Performance Systems
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
Added 2 hours ago
B
Frontend Engineer - Dedicated Inference
Baseten
Toronto, ON
- $190,000 to $300,000 USD / year
- Full-time
We’re looking for a seasoned Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and…
Added 2 hours ago
B
Software Engineer - GPU Kernels
Baseten
Toronto, ON
- $180,000 to $360,000 USD / year
- Full-time
We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As…
Added 4 hours ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
● Google Cloud Professional DevOps Engineer or Professio
Added 5 hours ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
…is the primary priority for this role. We are looking for an engineer who excels at utilizing modern AI frameworks, LLMs, and intelligent automation to solve complex back-end…
Added 5 hours ago
A
Gen AI Engineer (Python,RAG, LangChain, LangSmith)
Apptad
Montreal, QC
- Full-time
The Role: GEN AI Engineer (Python,RAG, LangChain, LangSmith)
Added 5 hours ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 5 hours ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Added 5 hours ago
ET
Senior AI/ML Engineer
Envision Technology Solutions
Canada
- Contract
The Senior AI/ML Platform Engineer will build, productionize, and operate AI/ML solutions on Azure Databricks platform.

Envision Technology Solutions

Senior AI/ML Engineer

Canada

Contract

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Job details

Job type: Contract
Experience: Minimum 10+ years of software, data, ML, or AI engineering experience, including hands-on experience with production ML solutions.
Posting language: English
Posted: Oct 29, 2026

Original job description

Role Overview

The Senior AI/ML Platform Engineer will build, productionize, and operate AI/ML solutions on Azure Databricks platform.
The role will partner closely with Data Scientists and technology teams to move Machine Learning and Generative AI solutions from experimentation into reliable, scalable, and supportable production workloads.
The primary focus is MLOps, model deployment and serving, production engineering, monitoring, and reusable AI/ML platform capabilities.

Key Responsibilities

AI/ML Engineering & Productionisation

Partner with Data Scientists to productionize Machine Learning and Generative AI solutions.
Build batch scoring, real-time inference, feature-engineering, and model-serving pipelines.
Implement model lifecycle management including deployment, versioning, promotion, rollback, and retraining.
Develop APIs and integration patterns that allow models to be consumed by applications and business workflows.
Build the data and feature pipelines specifically required to support model training and inference.

MLOps & Platform Engineering

Build and maintain reusable AI/ML deployment patterns using Azure Databricks, MLflow, Unity Catalog, Databricks Asset Bundles, and CI/CD.
Automate model testing, deployment, and environment promotion across DEV, UAT, and PROD.
Develop reusable templates and components that reduce one-off engineering across AMIG AI/ML initiatives.
Support platform/runtime upgrades and continuously improve deployment and operational practices.

GenAI Engineering

Productionize Generative AI solutions including RAG, semantic retrieval, knowledge-grounded applications, and agentic workflows where required.
Integrate applications with approved enterprise LLM/model-access capabilities.
Implement prompt, retrieval, grounding, and evaluation patterns.
Apply appropriate LLM orchestration frameworks when needed without introducing unnecessary project-specific technology stacks.

Production Operations & Monitoring

Implement monitoring for model performance, drift, data quality, inference services, and production workloads.
Troubleshoot model scoring, data, endpoint, performance, and production issues.
Support retraining, runtime/library upgrades, dependency management, and technical remediation.
Develop runbooks and operational procedures and support the transition of new AI/ML solutions into production support.
Optimize model-serving and Databricks workloads for reliability, performance, and cost.

Required Qualifications

Minimum 10+ years of software, data, ML, or AI engineering experience, including hands-on experience with production ML solutions.
Strong Python and SQL skills.
Strong hands-on experience with Azure Databricks and Apache Spark.
Experience with ML flow, model deployment, model lifecycle management, and CI/CD.
Experience building batch and/or real-time inference pipelines.
Experience with feature engineering and production ML architectures.
Experience with Unity Catalog, Databricks Asset Bundles, Model Serving, and Databricks Apps.
Experience integrating models with enterprise applications.
Experience productionizing GenAI or RAG solutions.
Understanding of production monitoring, troubleshooting, automated testing, and DevOps practices.
Working knowledge of Generative AI, LLMs, RAG, embeddings, semantic/vector retrieval, and prompt engineering.
Ability to work with Data Scientists and translate experimental models into production-ready solutions.

Preferred Qualifications

Familiarity with enterprise LLM/model-access platforms and Azure AI services.
Familiarity with LLM orchestration frameworks such as LangGraph, Semantic Kernel, or equivalent.
Experience with AI/ML observability and model evaluation.
Experience in insurance, financial services, or another regulated industry.

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More about this job

Responsibilities

Productionize and operate machine learning and generative AI solutions on Azure Databricks, including batch and real-time inference, model serving, lifecycle management, and reusable MLOps deployment patterns. Monitor and troubleshoot production workloads, improve reliability and cost efficiency, and support the transition of AI/ML solutions into production operations.

Requirements

Requires 10+ years of software, data, ML, or AI engineering experience, strong Python and SQL skills, and hands-on experience with Azure Databricks, Apache Spark, production ML, MLOps, and CI/CD. Candidates should also have experience productionizing GenAI or RAG solutions, integrating models with enterprise applications, and monitoring and troubleshooting production systems.

Skills

Python
SQL
Azure Databricks
Apache Spark
MLOps
MLflow
Unity Catalog
Databricks Asset Bundles
Model Serving
CI/CD
Feature Engineering
Machine Learning
Generative AI
RAG
Model Monitoring
Azure AI Services

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
Apache Spark
Python
SQL
MLOps
MLflow
Unity Catalog
Databricks Asset Bundles
Databricks Apps
Model Serving
CI/CD
Machine Learning
Generative AI
Large Language Models
RAG
Embeddings
Semantic Retrieval
Vector Retrieval
Prompt Engineering
Feature Engineering
Batch Scoring
Real-Time Inference
Model Lifecycle Management
Model Monitoring
Model Evaluation
Azure AI Services
LangGraph
Semantic Kernel
DevOps
Regulated Industries

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