Machine Learning Engineer at Lorven Technologies, Inc

Ontario, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

50000.0

Posted On

01 Oct, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Consumer Services

Description

Role OverviewThe Senior Machine Learning Engineer is a core technical practitioner responsible for designing, building, and deploying production-grade Machine Learning, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and MLOps solutions that power the platform.
Operating at the intersection of AI innovation and enterprise financial technology, this role works closely with product managers, solution architects, and software engineering teams to turn complex financial data and AI capabilities into scalable, secure, and reliable platform services. The Senior ML Engineer builds AI pipelines, enforces model evaluation frameworks, ensures strict security and audit compliance for regulated banking environments, and creates operational runbooks for seamless platform deployment.

Core CompetenciesMachine Learning & AI Engineering: Large Language Models (LLMs) | Retrieval-Augmented Generation (RAG) | Natural Language Processing (NLP) | Model Training & Fine-Tuning | Semantic Search
MLOps & Platform Operations: Model Evaluation & Benchmarking | AI Pipeline Orchestration | Model Monitoring | Observability | Operational Runbooks | Scalable AI Deployments
Enterprise Security & Responsible AI: Data Access Controls | Audit Trails | AI Privacy & Security Compliance | Responsible AI Guardrails | Model Cards & Technical Documentation
Cross-Functional Engineering: Production Code Quality | Software Engineering Best Practices | Technical Trade-Off Communication | Cross-Functional Collaboration | AI/ML Research Integration

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Responsibilities

Role OverviewThe Senior Machine Learning Engineer is a core technical practitioner responsible for designing, building, and deploying production-grade Machine Learning, Large Language Model (LLM), Retrieval-Augmented Generation (RAG), and MLOps solutions that power the platform.
Operating at the intersection of AI innovation and enterprise financial technology, this role works closely with product managers, solution architects, and software engineering teams to turn complex financial data and AI capabilities into scalable, secure, and reliable platform services. The Senior ML Engineer builds AI pipelines, enforces model evaluation frameworks, ensures strict security and audit compliance for regulated banking environments, and creates operational runbooks for seamless platform deployment.

Core CompetenciesMachine Learning & AI Engineering: Large Language Models (LLMs) | Retrieval-Augmented Generation (RAG) | Natural Language Processing (NLP) | Model Training & Fine-Tuning | Semantic Search
MLOps & Platform Operations: Model Evaluation & Benchmarking | AI Pipeline Orchestration | Model Monitoring | Observability | Operational Runbooks | Scalable AI Deployments
Enterprise Security & Responsible AI: Data Access Controls | Audit Trails | AI Privacy & Security Compliance | Responsible AI Guardrails | Model Cards & Technical Documentation
Cross-Functional Engineering: Production Code Quality | Software Engineering Best Practices | Technical Trade-Off Communication | Cross-Functional Collaboration | AI/ML Research Integration