AI/ML Lead (Senior Machine Learning Engineer – Full-time Leadership Role)

Aurelian Venture AI; Vancouver; Remote; CAD 180,000 - 250,000; Full time

Benefits offered by this job

Significant equity

Comprehensive benefits

Flexible remote work environment

Job summary

A leading AI company based in Metro Vancouver is seeking an AI/ML Lead (Senior Machine Learning Engineer) to architect large-scale systems. The ideal candidate will have over 7 years of hands-on experience in machine learning and deep expertise in NLP. Responsibilities include leading development and designing advanced models for high-stakes industries. The position offers a competitive salary, significant equity, and a remote-first culture with strong benefits.

Qualifications

• 7+ years of hands-on production ML experience with emphasis on NLP and large unstructured document systems.
• Deep expertise in building and optimizing RAG pipelines at scale.
• Strong proficiency with the Python ecosystem and modern ML stacks.

Responsibilities

• Architect and lead the development of large-scale RAG systems.
• Build advanced NLP pipelines for pattern detection and trend forecasting.
• Design probabilistic and time-series models.

Skills

Machine Learning

Natural Language Processing (NLP)

RAG pipelines

Python

Modern ML stacks

Leadership

Technical direction

Tools

PyTorch

Hugging Face Transformers

Pinecone

Weaviate

FAISS

Job description

AI/ML Lead (Senior Machine Learning Engineer – Full-time Leadership Role)

Company: Aurelian Venture Type: Full-Time, Contract, Hands‑on Technical Leadership

Compensation: CAD $180,000 – $250,000 base + significant equity + performance bonuses + comprehensive benefits

Start Date: Immediate – Shape multiple high‑impact AI products from early stage

About Aurelian Venture

Aurelian Venture builds vertical AI platforms that deliver predictive intelligence for high‑stakes industries.

We create SaaS tools that forecast critical outcomes before they become costly problems or missed opportunities — using large‑scale public data, advanced NLP, RAG architectures, and probabilistic modeling.

Core Responsibilities:

• Architect and lead development of large-scale RAG systems on domain‑specific document corpora (tens of thousands of PDFs/HTMLs)
• Build advanced NLP pipelines for pattern detection, trend forecasting, risk/opportunity scoring, and citation‑aware remediation recommendations
• Design probabilistic and time‑series models that handle noisy, imbalanced, evolving data with strong explainability
• Guide architecture decisions that enable reuse across verticals while preserving domain specificity
• Mentor engineers and collaborate with domain experts to ensure predictions are both technically robust and commercially valuable

Qualifications

Required:

• 7+ years hands‑on production ML experience, with emphasis on NLP and large unstructured document systems
• Deep expertise building and optimizing RAG pipelines at scale (LangChain/LlamaIndex, chunking strategies, retrieval tuning)
• Strong proficiency with modern ML stacks: PyTorch/Hugging Face Transformers, vector databases (Pinecone/Weaviate/FAISS), Python ecosystem
• Experience leading technical direction and small‑to‑medium engineering efforts
• Track record shipping explainable, reliable models in high‑stakes or regulated environments

Strongly Preferred:

• Background in RegTech, LegalTech, ComplianceTech, FinTech AI, PharmaTech, or similar vertical intelligence platforms
• Experience with large‑scale public document scraping, parsing, and metadata enrichment pipelines
• Familiarity with MLOps best practices (MLflow, CI/CD, monitoring, cost optimization)

Why Aurelian Venture?

• Work across multiple high‑growth verticals with shared technical DNA
• Massive equity upside in an early‑stage company with proven pilots and paying customers
• Lead and scale the AI function from the beginning
• Remote‑first culture with flexibility and strong benefits
• Opportunity to define the future of vertical predictive AI across regulated and high‑value industries

How to Apply

Email resume, GitHub/portfolio (especially RAG, NLP, or large‑document‑system projects), and a brief note on why vertical predictive intelligence excites you:

We review and respond within 48 hours.

Let’s build the next generation of domain‑specific predictive platforms — together.