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Added 7 mins ago
P
Mortgage Agent
Pineapple
ON · Ontario, Canada
- Full-time
At Pineapple, whether you are a new agent looking for top-tier training or an experienced professional seeking unparalleled support, our platform, support, and culture is built to scale…
Added 1 hour ago
SP
Software Engineering SMTS
Salesforce Partner Canada
Toronto, ON
- Full-time
…configuration, Org troubleshooting and management into natural language, agent assisted workflows. As part of this team, you will work across agent runtime, capability and skill design,…
Added 2 hours ago
M
Dynamics 365 CRM Solution Engineer
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…Center, Dynamics 365 Field Service, Copilot Studio, and AI Agent solutions. You will proactively collaborate with partners early in the sales cycle to accelerate customer…
Added 2 hours ago
NE
Global Director of Impact & Knowledge Management
New Energy Nexus
Remote, Canada
- Full-time
- Remote
…and networks to thrive. They are our main audience and our agent of…
Added 2 hours ago
Salesforce Technical Architect - Financial Services Cloud, Marketing Cloud & Data360 - Manager
EY
Toronto, ON · Montreal, QC
Working knowledge of Agentforce and Prompt Builder: agent instructions, topics/actions, knowledge retrieval, testing, escalation patterns.
Added 3 hours ago
O
Sr. Director, Product Management, AI Product Strategy
OpenText
Waterloo, ON
- Temporary
Architect and deliver production-grade agentic systems using LangChain, LangGraph, A2A (Agent-to-Agent) protocols, and other transformative AI frameworks to create adaptive, multi-agent…
Added 6 hours ago
J
Lead Product Manager, Agent Runtime & Evals
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Product Manager, Agent Runtime & Evals based in Canada.
Added 6 hours ago
S
Enterprise Sales Engineer - Majors, Financial Services
Sierra
Toronto, ON
- $355,000 to $365,000 CAD / year
- Full-time
Go from first discovery to a tailored, working agent in days, not weeks, across prospects and existing customers
Added 6 hours ago
S
Enterprise Sales Engineer - Majors, Healthcare
Sierra
Toronto, ON
- $325,000 to $335,000 CAD / year
- Full-time
Decide when to bring in Agent Development, Product, Security, Legal, and Sierra leaders, and what each of them needs to do. You keep everyone aimed at the same goal
Added 6 hours ago
MS
Senior Engineer II, Proxy
Menlo Security
Remote, Canada
- Full-time
- Remote
…documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is…
Added 8 hours ago
S
Software Engineering SMTS
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
…configuration, Org troubleshooting and management into natural language, agent assisted workflows. As part of this team, you will work across agent runtime, capability and skill design,…
Added 8 hours ago
TC
Oracle Integration Cloud (OIC) Developer
The Citco Group Limited
Toronto, ON
- Full-time
As an Oracle Integration Cloud (OIC) Developer, you will be responsible for designing, developing, deploying, supporting, and optimizing Oracle Integration Cloud solutions that integrate…
Added 8 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 8 hours ago
B
Software Engineer - Voice AI (Inference Runtime)
Baseten
Toronto, ON
- $165,000 to $330,000 USD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 9 hours ago
MS
Senior Engineer II, Proxy
Menlo Security Inc.
Canada
- Full-time
…documents, and email before they reach the user. With Menlo Agent Runtime Security (MARS), that protection now extends to the AI agents working alongside every employee. Menlo Security is…
Added 9 hours ago
T
Quality Assurance Engineer
Trulioo
Vancouver, BC
- Full-time
Added 9 hours ago
Q
FY27 Intern - AI Software Engineering Co-op - Canada (4 months)
Qualcomm
Toronto, ON
- Full-time
Improving developer tools, testing, automation, and engineering workflows
Added 10 hours ago
MP
Real Estate Agent – No Experience Needed (Dubai)
McCone Properties
Saskatoon, SK
- Full-time
The average agent here earned US$112,000 last year, tax free; US$2.9 million is our best year, not the usual one. There is no salary, so arrive with around six months of savings while you…
Added 10 hours ago
JR
Applied Machine Learning Scientist
Jump! Recruiters
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Support the development of autonomous and multi-agent systems that can reason, plan, execute tasks, and integrate with enterprise tools, databases, APIs, and services.
Added 10 hours ago
Q
FY27 Intern - AI Software Systems Co-op - Canada (4 months)
Qualcomm
Toronto, ON
- Full-time
Improving developer tools, testing, automation, and engineering workflows
Added 11 hours ago
E
AI DevOps Specialist (AI Enablement & Secure DevOps)
Experis
Canada
- Contract
…user-facing web interfaces (LibreChat or Gemini Enterprise Agent Platform), implementing agentic workflow architectures (Flowise AI or Gemini Enterprise Agent Platform), ensuring secure,…
Added 11 hours ago
AI
Account Manager
Accuenergy Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…modifies, and sends VECTOR drafts; provides feedback that improves agent quality through the structured feedback…
Added 11 hours ago
CH
Sales Representative
Clean Harbors
Sainte-Catherine, QC
- Full-time
…regarding specific line of business capabilities to ensure that the Agent can effectively communicate advantages we provide versus the competitors’…
Added 11 hours ago
P
Finance Director
Perennial
Toronto, ON
- Full-time
Act as a change agent to reimagine and modernize the finance function from the ground up, delivering strategic insights and building a nimble, high-impact team
Added 11 hours ago
RE
Backend Python Developer - GenAI Focus
Randstad Enterprise
Montreal, QC
- Contract
Job Title: Backend Python Developer - GenAI Focus

Jump! Recruiters

Applied Machine Learning Scientist

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 28, 2026
Experience: 3 to 5 years of experience with MLOps and ML lifecycle management, including model monitoring, drift detection, model versioning, feature stores, and automated retraining.
Posting language: English
Posted: Oct 29, 2026

Original job description

Our client, Velan, is a global leader in the design and manufacture of industrial valves. Founded in Montreal, the company is recognized for the quality of its products, its technical expertise, and its human and collaborative corporate culture.

They are currently looking at adding an Applied Machine Learning Scientist, who will develop, deploy, and continuously improve scalable AI/ML solutions that solve meaningful business problems and improve decision-making, workflow efficiency, and process automation across the organization. Working at the intersection of data science, software engineering, and MLOps, you will transform prototypes into reliable production systems, ensure models remain accurate and trustworthy over time, and collaborate with cross-functional stakeholders to translate business needs into practical, high-quality technical solutions.

What Velan Offers

In addition to meaningful work that matches your ambitions and provides diverse learning opportunities, joining Velan means becoming part of a passionate team and enjoying exceptional working conditions:

Competitive salary and bonus program
Comprehensive group insurance program
24/7 telemedicine service
Employer contribution of 5% to a retirement savings plan
Competitive vacation policy
Paid holiday shutdown during the Christmas season
Reimbursement of professional association membership fees
Tuition reimbursement program
Annual gym membership reimbursement and other wellness initiatives
Free on-site parking
Company events (health, family, sports, etc.)
Fast-track career growth and professional development opportunities

Responsibilities

Design, develop, and deploy machine learning models that address high-value business problems and support scalable process automation.
Build and maintain end-to-end ML pipelines, including data ingestion, feature engineering, training, evaluation, deployment, inference, and monitoring.
Convert proof-of-concept models into production-grade solutions that are scalable, robust, performant, and reliable across changing data conditions.
Support the development of autonomous and multi-agent systems that can reason, plan, execute tasks, and integrate with enterprise tools, databases, APIs, and services.
Monitor deployed models for performance degradation, data drift, bias, and fairness, and retrain or recalibrate models when needed.
Partner with domain experts, engineers, and business stakeholders to define requirements, frame problems, translate objectives into technical solutions, and communicate results clearly.
Apply software engineering best practices, including version control, code review, automated testing, CI/CD, containerization, and orchestration.
Contribute to ML system architecture and technology decisions, ensuring alignment with the company’s data platforms, infrastructure, and technology standards.
Promote strong data and model governance through clear documentation, reproducibility, explainability, and auditability of ML solutions.

Qualifications

Bachelor’s degree in Computer Science, Mathematics, Software Engineering, Data Science, or a related technical field.
3 to 5 years of experience with MLOps and ML lifecycle management, including model monitoring, drift detection, model versioning, feature stores, and automated retraining.
Strong programming proficiency in Python and R, with familiarity with additional languages such as Java or C++.
Hands-on experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, and scikit-learn.
Solid understanding of machine learning and deep learning fundamentals, including common architectures, training approaches, and evaluation methods.
Strong software engineering fundamentals, including data structures, algorithms, complexity, system design, version control, testing, and modular code development.
Experience working with data using SQL or other query languages, including large-scale data manipulation, preprocessing, and feature engineering.
Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders and work effectively across functions.

Preferred Qualifications

Experience deploying ML solutions on cloud platforms such as Azure, AWS, or GCP, using containerization and orchestration tools such as Docker and Kubernetes.
Familiarity with emerging AI/ML domains such as large language models, computer vision, reinforcement learning, graph machine learning, or agentic systems.
Demonstrated experience with model explainability, fairness assessment, and bias detection or mitigation.
Evidence of strong interest in AI/ML through open-source contributions, publications, applied projects, competitions, or continuous learning.

If you recognize yourself in this profile and are excited about this opportunity, we would be delighted to learn more about you!

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More about this job

Responsibilities

Design, deploy, and maintain scalable machine learning models and end-to-end pipelines, turning prototypes into reliable production systems. Monitor model performance and governance, support autonomous and multi-agent systems, and collaborate with stakeholders to translate business needs into practical technical solutions.

Requirements

A bachelor’s degree in a relevant technical field and 3–5 years of experience with MLOps and machine learning lifecycle management are required. Candidates should have strong Python and R skills, experience with machine learning frameworks and data processing, solid software engineering fundamentals, and the ability to communicate and collaborate across functions.

Skills

Machine Learning
MLOps
Python
R
PyTorch
TensorFlow
Scikit-Learn
SQL
Model Monitoring
Feature Engineering
Model Deployment
Data Drift Detection
Model Explainability
Docker
Kubernetes

Benefits

Competitive Salary and Bonus Program
Comprehensive Group Insurance
24/7 Telemedicine Service
Competitive Vacation Policy
Paid Christmas Holiday Shutdown
Professional Association Membership Fee Reimbursement
Tuition Reimbursement
Annual Gym Membership Reimbursement
Wellness Initiatives
Free On-Site Parking
Company Events
Career Growth and Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
MLOps
Artificial Intelligence
Python
R
Java
C++
PyTorch
TensorFlow
Scikit-Learn
SQL
Machine Learning Pipelines
Feature Engineering
Model Monitoring
Data Drift
Model Versioning
Feature Stores
Automated Retraining
Deep Learning
Autonomous Systems
Multi-Agent Systems
Large Language Models
Computer Vision
Reinforcement Learning
Graph Machine Learning
Azure
AWS
Google Cloud Platform
Docker
Kubernetes

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