Ai/Ml Lead (Senior Machine Learning Engineer - Full-Time Leadership Role)
$180k - $250k per yearAurelian Venture AI
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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