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Added 1 hour ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…transform OCM from a reporting tool into an autonomous measurement platform. You'll work across Scala, Java, and Python, with deep expertise in big data technologies (Apache Spark, Kestrel,…
Added 2 hours ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 2 hours ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project.
Added 5 hours ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
…engineering role - at a GPU cloud, inference provider, MLOps platform, AI/developer tooling company, or cloud infrastructure…
Added 5 hours ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
…Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service…
Added 7 hours ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 8 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Partner with our GCP Agent Platform Architects to make the semantic layer, retrieval indices, and feature stores that Gemini agents and Vertex AI models depend on.
Added 8 hours ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 10 hours ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer II to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 11 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 11 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 11 hours ago
Senior Cloud Engineer
Vertage Global
Ottawa, ON
Contract
We are seeking a highly skilled Cloud Engineering Senior Engineer to join a dynamic Agile team responsible for designing, developing, and supporting a next-generation Telemetry &…
Added 12 hours ago
Senior Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Senior Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 13 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability…
Added 13 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 14 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Full-time
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 14 hours ago
Senior AI Engineer
Charger Logistics Inc.
Brampton, ON
Full-time
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This…
Added 14 hours ago
Staff Software Engineer (Architecture)
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding Architecture team. This is a strategic and highly visible role focused on driving architectural consistency, elevating…
Added 15 hours ago
Cloud Engineer
Morson Edge (Canada)
Oakville, ON
$95,000 to $135,000 CAD / year
Full-time
Morson Edge is seeking an experienced Cloud Engineer to join a growing infrastructure team. This role is ideal for a cloud professional with strong Microsoft Azure expertise who is…
Added 16 hours ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 17 hours ago
[New Grad] Applied AI Engineer
Ranger AI
Canada
Full-time
Ranger AI transforms how teams in energy, manufacturing, contracting, and pharma manage commercial operations through an AI-powered proposal management platform.
Added 19 hours ago
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
Full-time
…Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations…
Added 1 day ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
…build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and…
Added 1 day ago
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 1 day ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
…build CI/CD workflows with GitHub Actions; manage MCP server infrastructure with proper authentication, security, and…

Zafin

Senior Machine Learning Engineer- AIOS

Toronto, ON, Canada

Posting language: English
Posted: Sep 23, 2026

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Original job description

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments.

Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise environments.

Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale.

What is the Opportunity?

As a Machine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over enterprise knowledge with accuracy, traceability, and control.

You will work on practical production systems, including retrieval, ranking, embeddings, model integration, evaluation, data pipelines, model serving, observability, and the workflows that make AI outputs reliable for regulated banking environments. This is a hands-on engineering role focused on turning ML and LLM capabilities into dependable product infrastructure.

This role is critical for high-quality knowledge, strong evaluation, and reliable model behavior. You will help build the foundation that allows customers to use AI agents with confidence, accountability, and measurable business value.

What Will You Do?

Design, build, test, and maintain ML and AI capabilities for AIOS, with a focus on knowledge retrieval, model integration, and production reliability.
Develop systems for embeddings, vector search, ranking, retrieval-augmented generation, knowledge ingestion, and knowledge quality improvement.
Build and improve model evaluation workflows, test sets, scoring approaches, quality metrics, and monitoring for AI and LLM-based systems.
Partner with AI engineers, data engineers, product managers, architects, and domain experts to translate product needs into ML system designs and working software.
Write production-quality Python or equivalent code, including services, pipelines, automation, tests, and integration points with product systems.
Improve ML system performance, latency, cost, reliability, and observability in production and pre-production environments.
Work with structured and unstructured enterprise data, including documents, metadata, knowledge sources, customer data, and operational signals.
Support responsible AI practices by improving traceability, explainability, governance, auditability, privacy, and human review workflows.
Create technical documentation, model cards or evaluation notes where useful, implementation guidance, and operational runbooks.
Stay current with ML, LLM, RAG, evaluation, and MLOps practices and bring practical improvements into the AIOS product.

What Do You Need to Succeed?

Must haves

5+ years of software engineering, machine learning engineering, data science engineering, or applied ML experience building production systems.
2+ years of hands-on experience with production ML, LLM applications, retrieval-augmented generation, NLP, search, recommendation, or AI-powered automation.
Strong programming skills in Python and experience building maintainable, tested, production-quality code.
Practical experience with ML frameworks, LLM APIs or open-source models, embeddings, vector databases, retrieval systems, or model-serving patterns.
Strong understanding of data pipelines, feature or knowledge preparation, model evaluation, experiment tracking, and performance measurement.
Solid software engineering fundamentals, including APIs, databases, testing, debugging, version control, and system design.
Ability to analyze model behavior, diagnose quality issues, and improve systems using both quantitative metrics and qualitative reviews.
Strong communication skills, with the ability to explain ML trade-offs, model behavior, and technical recommendations to product and engineering stakeholders.
Bachelor's degree in Computer Science, Engineering, Machine Learning, Statistics, Mathematics, or a related technical field, or equivalent practical experience.

Nice to have

Experience building RAG systems, knowledge graphs, document understanding systems, semantic search, or enterprise knowledge platforms.
Experience with MLOps practices, model monitoring, model registries, CI/CD for ML, or deployment of ML services in cloud environments.
Experience with Azure, Kubernetes, Docker, distributed data processing, or scalable data infrastructure. Experience with banking, financial services, compliance, risk, or other regulated industry data.
Experience with AI evaluation, safety testing, hallucination mitigation, prompt testing, or governance controls for LLM systems.
Experience collaborating with product teams to turn ambiguous AI capabilities into usable product features.
Experience with security, privacy, data access controls, audit trails, and responsible AI requirements.
Published research, open-source contributions, patents, or technical writing related to ML, NLP, search, or AI systems.

Additional Job Details

At Zafin, we invest in our people. Our comprehensive rewards program is designed to support your health, financial well-being, and work-life balance, including:

- Fully company-paid health benefits
- Annual bonus opportunities
- Generous vacation and holidays
- RRSP matching
- Employer-paid insurance coverage
- Wellness resources
- Extensive paramedical benefits, and more
Vacancy Status: Open Position to be filled
Expected Salary range: Hiring for multiple levels depending on candidate's experience and competence
Mode of Work: Hybrid
Use of AI: Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and/or assess applicants for this position. Zafin will not utilize AI for conducting interviews and/or making hiring decisions.

What’s in it for you

Joining our team means being part of a culture that values diversity, teamwork, and high-quality work. We offer competitive salaries, annual bonus potential, generous paid time off, paid volunteering days, wellness benefits, and robust opportunities for professional growth and career advancement. Want to learn more about what you can look forward to during your career with us? Visit our careers site and our openings: zafin.com/careers

Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin’s privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice.

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More about this job

Responsibilities

Design, build, and maintain machine learning and AI systems for the AIOS platform, focusing on knowledge retrieval and production reliability. Collaborate with cross-functional teams to translate product requirements into scalable, high-quality ML infrastructure.

Requirements

Requires 5+ years of experience in software or machine learning engineering with strong proficiency in Python. Candidates must have hands-on experience with production ML, LLM applications, and retrieval-augmented generation systems.

Skills

Python
Machine learning
LLM
Retrieval-augmented generation
NLP
Vector databases
Data pipelines
Model evaluation
System design
MLOps
Cloud environments
Software engineering
Search
Recommendation systems
Knowledge graphs

Benefits

Health benefits
Annual bonus
Vacation
Holidays
RRSP matching
Employer-paid insurance
Wellness resources
Paramedical benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AIOS
LLM
Python
Retrieval-Augmented Generation
NLP
Vector Search
MLOps
Data Pipelines
Knowledge Fabric
Azure
Kubernetes
Docker
Financial Services
Banking
Governance
Traceability
Explainability
Model Serving
Observability
Software Engineering
Semantic Search
Knowledge Graphs
CI/CD
Distributed Data Processing

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