Senior AI/ML Platform Engineer

Jarvis Consulting Group; Ontario; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

A leading company in professional services is seeking a Senior AI/ML Platform Engineer to lead the design and implementation of scalable MLOps pipelines. This hybrid role involves optimizing machine learning models' lifecycle, ensuring high availability, performance, and security while collaborating with cross-functional teams.

Qualifications

• 5+ years of experience in software engineering, data engineering, or DevOps.
• At least 2+ years in MLOps roles.
• Strong hands-on experience with Azure services and Databricks.

Responsibilities

• Design and implement end-to-end MLOps pipelines using Azure and Databricks.
• Collaborate with teams to automate model training and deployment.
• Monitor and troubleshoot ML services in production.

Skills

MLOps

Azure services

Databricks

Python

Feature Engineering

CI/CD pipelines

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Azure Machine Learning

Azure DevOps

Azure Data Lake

Azure Kubernetes Service (AKS)

MLflow

Terraform

Kubernetes

Job description

Job Title:Senior AI/ML Platform Engineer
Location:Toronto, ON (Hybrid - 2 days in office)
Job Type:Contract (6 months to start - extendable)

About Us:
Jarvis is driven by a bold vision to transform the professional services landscape by setting a new standard for innovation, empowerment, and impactful solutions in data, AI, and technology. Our unwavering dedication is rooted in propelling businesses toward sustained success while making a positive impact on communities. Strategically operating from Toronto and Montreal, Europe, and North Africa, Jarvis extends its services across Canada and the US. Our diverse team comprises expert advisors and forward-thinking technologists who work tirelessly to unlock the full potential of businesses, ensuring the consistent delivery of exceptional results. The world of technology is rapidly evolving through innovation and cutting-edge technologies. As we move into the future, we believe in keeping up with relevant technologies and building that future ourselves. Our greatest assets are our people, and at Jarvis, we value imagination and curiosity as much as capability and skill.

Job Summary:
For our Technology Advisory Services division, we are seeking a highly skilled and experiencedSenior AI/ML Platform Engineerto lead the design, development, and implementation of scalable MLOps pipelines onAzureandDatabricks. This role will focus on optimizing the lifecycle of machine learning models — from development to deployment and monitoring — while ensuring high availability, performance, and security.

Key Responsibilities:

• Design and implement end-to-end MLOps pipelines using Azure Machine Learning, Databricks, MLflow, and related tools.
• Collaborate with Data Scientists, Engineers, and DevOps teams to automate model training, validation, deployment, and monitoring processes.
• Build scalable data pipelines and integrate feature engineering workflows in Databricks.
• Set up model versioning, testing, and CI/CD workflows for ML artifacts.
• Ensure security, compliance, and governance standards are met across all ML operations.
• Monitor and troubleshoot ML services in production, and proactively enhance performance and reliability.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, data engineering, or DevOps with at least 2+ years in MLOps roles.
• Strong hands-on experience withAzure servicessuch as Azure Machine Learning, Azure DevOps, Azure Data Lake, and Azure Kubernetes Service (AKS).
• Expertise inDatabricks(including Delta Lake, MLflow, and notebooks).
• Experience withML model deployment, monitoring, and governance in a cloud-native environment.
• Experience withFeature Engineering
• Proficient in Python and familiar with libraries like scikit-learn, pandas, and TensorFlow or PyTorch.
• Experience with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps, Jenkins).
• Familiarity with infrastructure as code (e.g., Terraform, ARM templates).
• Strong Communication skills / Stakeholder management skills, someone who can face off with business stakeholders on the data science side

Preferred Qualifications:

• Databricks Certified Professional or Microsoft Azure Certification.
• Experience with containerization (Kubernetes) and orchestration tools.
• Understanding of responsible AI principles and model explainability tools.