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Added 1 hour ago
IC
DATA & AI ENGINEER
iCreate Consulting
Engineer, BC
- Full-time
Added 1 hour ago
GC
Principal Engineer, Electrical
Glencore Canada
Sparwood, BC
- $153,000 to $189,000 CAD / year
- Full-time
Reporting to the Director, Maintenance, the Principal Engineer, Electrical will be central authority responsible for electrical governance, standards and compliance across all EVR assets.…
Added 1 hour ago
ES
Lead AI Engineer - TCO Agent Platform
EPAM Systems
Canada
- Full-time
As the Lead AI Engineer for our next-generation TCO Agent Platform, you will serve as the technical lead and multi-agent system architect for a greenfield, proactive FinOps AI platform. You…
Added 1 hour ago
ES
Senior Software Test Automation Engineer (Java)
EPAM Systems
Canada
- Full-time
…team from manual to automated testing at scale. Join EPAM to engineer solutions that matter. From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to…
Added 1 hour ago
ES
Senior AI/ML Delivery Manager
EPAM Systems
Toronto, ON
- Full-time
Added 1 hour ago
KG
Superintendent, Open Pit
Kinross Gold Corporation
Red Lake, ON
- Full-time
Added 1 hour ago
S
Plumbing and Fire Fighting Engineer
SYSTRA
Montreal, QC
- Full-time
…within the Co-Development Phase of the ALTO programme, the Engineer will provide design services, coordination and delivery of their work discipline work package for their respective…
Added 1 hour ago
ES
Product Owner / Lead Business Analyst
EPAM Systems
Toronto, ON
- Full-time
Added 1 hour ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
Member of Professional Engineer of Ontario (PEO) or Institution of Railway Signal Engineers (IRSE)
Added 1 hour ago
MC
Senior Security Engineer
MatchBox Consulting Group
Vancouver, BC
- Full-time
MatchBox Consulting Group is currently seeking a Senior Security Engineer for a permanent role at a client of ours located in Vancouver
Added 1 hour ago
HR
Technical Safety Specialist
Hitachi Rail
Toronto, ON
- Full-time
Member of Professional Engineer of Ontario (PEO) or Institution of Railway Signal Engineers (IRSE)
Added 1 hour ago
HR
Software Architect - Vital Software
Hitachi Rail
Toronto, ON
- Full-time
Added 1 hour ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
Added 1 hour ago
J
Senior Data Warehouse and Integration Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Data Warehouse and Integration Engineer based in…
Added 2 hours ago
New Grad Program-Transmission & Stations(Civil Engineering-Structural & Municipal)-Toronto-June 2027
Hydro One Networks Inc
Toronto, ON
Transmission & Stations – Civil/Structural Engineer
Added 2 hours ago
New Grad Program - Protection and Control (Electrical Engineering) - Toronto - June 2027
Hydro One Networks Inc
Toronto, ON
Eligible to be a licensed & practicing Professional Engineer within the Province of Ontario (PEO).
Added 2 hours ago
New Grad Program - Telecom (Electrical Engineering) - Toronto - June 2027
Hydro One Networks Inc
Toronto, ON
Must be eligible for future licensing by the PEO as a Professional Engineer (within required work experience time frame).
Added 2 hours ago
MA
Staff Data Engineer
Meeru AI Inc
Remote, Canada
- Full-time
- Remote
We are looking for a Staff Data Engineer to build and own the major subsystems of the data foundation - the pipelines, connectors, and curated models that feed the platform's analytics and…
Added 4 hours ago
S
DCN Electrical Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly qualified and motivated Electrical Engineer to support our Data Center infrastructure solutions business.
Added 4 hours ago
S
DCN Mechanical Engineer
SLB
Calgary, AB
- Full-time
SLB is seeking a highly qualified and motivated Mechanical Engineer to support our Data Center infrastructure solutions business.
Added 4 hours ago
E
Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Added 4 hours ago
L
Legal Engineer Associate
Legora
Toronto, ON
- Full-time
Added 4 hours ago
C
Principal Machine Learning Developer
Cisco
AB · Calgary, Alberta
- Full-time
As a Principal Machine Learning Engineer Developer you will define how AI, LLMs, and autonomous operations transform network and security management across Cisco’s wireless, wired, cloud,…
Added 5 hours ago
P
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
- $80,000 to $95,000 CAD / year
- Full-time
AI Solutions Engineer – Intellectual Property
Added 5 hours ago
B&
Staff Electrical Engineer - Transmission & Distribution (Toronto)
Burns & McDonnell
Toronto, ON
- Full-time
The Staff Electrical Engineer - Transmission & Distribution will work under the supervision of a licensed professional engineer to develop design deliverables for new and modified…

Mission.dev

Machine Learning Engineer

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 12, 2026

Original job description

Our company description

Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software products.

About the Company

This technology company operates a large-scale financial services platform originally established to serve international markets. The organization is expanding its ecosystem beyond its core fintech offerings to include savings, investments, and AI-native productivity tools. The company leverages artificial intelligence to build proactive applications designed to simplify daily digital tasks and workflows for a global user base, focusing on high reliability and autonomous task completion.

About the Role

As the Technical Lead for Machine Learning, you will oversee the execution layer of the company’s AI intelligence, transforming research into scalable, production-grade systems. This hands-on leadership role bridges the gap between model development and product implementation. You will own the entire model lifecycle, including data curation, training, evaluation, and deployment. Your focus will be on building reliable, high-performance systems that power proactive applications, ensuring long-running workflows and persistent context function seamlessly for millions of users worldwide.

What You'll Do

Lead the end-to-end development of machine learning systems, spanning data acquisition, training, and deployment.
Architect high-performance inference systems to optimize latency, GPU utilization, and cost-efficiency.
Design robust evaluation frameworks to measure model capability, safety, and real-world performance.
Build scalable pipelines for processing high-quality synthetic and real-world training data.
Establish production infrastructure for monitoring and continuously improving large-scale models.
Partner with research and engineering teams to translate model capabilities into functional product features.
Manage technical trade-offs to ensure rapid iteration and system reliability.

What You Bring

Proven experience building and shipping production-grade machine learning systems at scale.
Deep expertise in modern large-model training, fine-tuning, and inference methodologies.
Strong software engineering and systems design fundamentals.
Technical proficiency with GPU-based workloads and infrastructure.
Ability to navigate ambiguous technical problems and lead experimentation initiatives.

Nice to Haves

Proficiency with Python, PyTorch, or JAX.
Experience managing large model failure modes in live environments.
Experience writing production-grade code for high-reliability systems.

Compensation & Benefits

Benefits: Health and dental coverage, life insurance, retirement savings matching (US), and equity.

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More about this job

Responsibilities

Lead the full machine learning lifecycle, from data acquisition and model training through evaluation and production deployment. Architect efficient inference systems and scalable data and monitoring infrastructure, while partnering with research and engineering teams to deliver reliable AI product features.

Requirements

Candidates should have proven experience building and shipping production-grade machine learning systems at scale, with deep expertise in large-model training, fine-tuning, and inference. Strong software engineering and systems design skills, GPU infrastructure proficiency, and the ability to lead experimentation in ambiguous technical settings are required; Python, PyTorch, or JAX experience is a plus.

Skills

Machine Learning
Large-Model Training
Model Fine-Tuning
Inference Systems
GPU Infrastructure
Python
PyTorch
JAX
Data Curation
Synthetic Data Pipelines
Model Evaluation
Production Deployment
Systems Design
Performance Optimization
Reliability Engineering
Technical Leadership

Benefits

Health Coverage
Dental Coverage
Life Insurance
Retirement Savings Matching
Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Large-Scale Models
Model Training
Fine-Tuning
Inference
GPU Utilization
Latency Optimization
Cost Efficiency
Data Acquisition
Data Curation
Synthetic Training Data
Real-World Training Data
Evaluation Frameworks
Model Safety
Production Deployment
Monitoring
Persistent Context
Long-Running Workflows
Python
PyTorch
JAX
Software Engineering
Systems Design
Fintech
High-Reliability Systems
Autonomous Applications

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