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Machine Learning Engineer jobs in Edmonton, AB

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    • You'll work closely with the VP of Operations Excellence, the domain experts and other peer engineers.
    • Reporting to *Vice President, Operations Excellence.
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    • Reporting to the Director of IT, the AI Systems Analyst plays a key role in enabling Cantiro’s AI and automation strategy across the organization.
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    • Reporting to the Director of IT, the AI Systems Analyst plays a key role in enabling Cantiro’s AI and automation strategy across the organization.
    • Strong understanding of machine learning and NLP concepts.
    • Minimum 2 years of hands-on experience in AI and/or machine learning development.
    • Collaborate with data scientists and engineers.
    • The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand…
    • Build and maintain AI agents and complex workflows that connect BIS systems together, solve real business problems, and drive measurable efficiency gains.
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    • The Enterprise Data Architect will define strategic data architecture roadmaps and design scalable data ecosystems for financial institutions.
    • The GenAI Architect will lead the design and implementation of enterprise Generative AI solutions leveraging Large Language Models to transform customer service…
    • Develop machine learning models and pipelines.
    • 5+ years of machine learning experience.
    • The ML Engineer will develop, deploy, and optimize machine learning…
    • Implement CI/CD for machine learning workloads.
    • The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment,…
    • Join a cutting-edge team building enterprise-grade Generative AI and agentic solutions that power intelligent automation and decision-making.
    • The MLOps Engineer will establish and manage scalable ML infrastructure, ensuring efficient deployment, monitoring, governance, and lifecycle management of…
    • Experience training/fine-tuning machine learning models.
    • Learn from deep subject matter experts through mentoring and on the job coaching.
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Job Post Details

AI Engineer - job post

KV Capital Inc.
Edmonton, ABHybrid work
$61,213.60–$208,737.76 a year - Permanent, Full-time

Job details

Pay

  • $61,213.60–$208,737.76 a year

Job type

  • Permanent
  • Full-time

Location

Edmonton, ABHybrid work

Benefits

Pulled from the full job description

  • Paid time off
  • Vision care
  • Dental care
  • Life insurance
  • Disability insurance
  • On-site gym
  • Casual dress

Full job description

About KV Capital

At KV Capital, we have established ourselves as industry leaders in real estate debt and investment, driven by our unwavering commitment to excellence, trusted partnerships, and innovative solutions. Since our founding in 2006, we have expanded across three connected areas of service: real estate private equity, real estate lending, and private equity investments in real estate supply chain businesses. Managing a robust portfolio of +$1.8 billion in funded investments, accompanied by +$650 million in assets under management, our dedicated team of finance professionals is driven by a shared goal to cultivate prosperity for our clients, partners, and communities. We have offices in Calgary and Edmonton, and we are expanding nationally to Vancouver and Toronto.

Position AI Engineer, Operations Excellence

Reporting to Vice President, Operations Excellence

Location Edmonton, Alberta (hybrid option)

The Opportunity

KV Capital is seeking an AI Engineer to help build the next generation of KV's lending platform — AI-powered tools that automate property valuation, deal analysis, document review, and market intelligence, embedded directly into the workflows of our origination teams.

This is a hands-on, full-stack engineering role with significant autonomy. You'll work closely with the VP of Operations Excellence, the domain experts and other peer engineers. Good ideas ship fast.

Your Key Responsibilities

  • AI agents for property valuation, comparables analysis, and deal screening
  • Document extraction pipelines (PDFs → structured data) for appraisals, title documents, and financials
  • Internal tools that put AI in the hands of analysts and originators
  • Borrower-facing experiences for application tracking and transparency
  • Production deployment, monitoring, and iteration with real users

Your Capabilities and Credentials

  • Strong fundamentals in Python and one modern web stack (TypeScript / React / Node, or equivalent)
  • Hands-on experience building with LLMs — you know when to trust and when to challenge AI
  • Ability to ship full-stack features end-to-end: backend services, APIs, database, and a robust, secure frontend
  • Comfort with SQL and relational databases (Postgres preferred)
  • Working familiarity with cloud deployment (AWS, Azure, or GCP) and CI/CD
  • Solid engineering hygiene: version control, code review, testing, clear documentation
  • Deep understanding of ALM best practices
  • Curiosity about real estate, finance, or lending — domain training is provided, so willingness to learn matters more than prior experience
  • Strong written and verbal communication; able to translate between technical and non-technical stakeholders
  • Self-direction — you can take a fuzzy problem, scope it, and ship a working solution
  • A portfolio of working projects (GitHub, deployed apps, hackathon submissions)
  • Nice to Have
  • Experience with agent frameworks (LangChain, LlamaIndex, or custom orchestration)
  • Familiarity with vector databases, embeddings, or RAG systems
  • Background or interest in real estate, mortgage, fintech, or property tech
  • Public AI projects, open source contributions, or hackathon wins
  • Proficiency in C# and .NET
  • Experience with the Microsoft Power Platform, Microsoft Dataverse, and model-driven apps
  • Familiarity with design systems like FluentUI and TailwindCSS
  • What KV Capital Offers
  • ● Competitive total compensation package, including performance based and long-term incentives.
  • ● Competitive vacation and flexible time off, including birthdays off and holiday office closure
  • ● 100% employer paid benefits
  • ● Tuition and professional development support
  • ● On-site gym
  • ● Hybrid work model: 4 days in office, 1 day remote per week
  • Apply Now!
  • You will be part of an enthusiastic and highly effective team with no end of challenging and transformational work in sight. KV Capital is in a phase of growth and expansion, offering a collaborative work environment, recognition for outstanding performance, and abundant opportunities for both personal and professional advancement.
  • For more information on our company, please visit our website at www.kvcapital.ca.
  • To apply, please forward your resume and cover letter in confidence to careers@kvcapital.ca. with the subject line: “AI Engineer”.

Pay: $61,213.60-$208,737.76 per year

Benefits:

  • Casual dress
  • Company events
  • Dental care
  • Disability insurance
  • Extended health care
  • Life insurance
  • On-site gym
  • On-site parking
  • Vision care

Work Location: Hybrid remote in Edmonton, AB

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