Senior Staff Applied ML Engineer (AI)

Location: Remote (Canada)

Salary: $360,000 - $380,000 CAD

Company

hirify.global is a leading provider of AI-powered IT management and cybersecurity software serving Managed Service Providers (MSPs) and internal IT organizations worldwide.

What you will do

• Explore and analyze data using Python, pandas, and PySpark to identify user behavior patterns and latent factors.
• Create, tune, and productionize ML models for categorization, classification, recommendations, and ranking tasks.
• Design and implement AI-driven ingest flows to convert unstructured inputs (tickets, emails, logs) into structured data.
• Build automated workflows to handle repetitive Level 1 requests and surface similar past solutions to assist decision-making.
• Act as a technical lead and advisor, defining shared patterns and best practices for ML usage across multiple product teams.
• Mentor junior data/ML engineers through code reviews, pairing, and guidance on operational reliability.

Requirements

• 5+ years in data science or ML engineering with a strong record of shipping production features.
• Proficiency in Python, pandas, and PySpark or similar distributed data processing frameworks.
• Solid understanding of supervised learning, matrix factorization, embeddings, and feature engineering.
• Experience with PyTorch and modern data warehouses/data lakes.
• Ability to integrate ML models into production via APIs and microservices.
• Must be based in Canada.

Nice to have

• Experience with LLMs, RAG, prompt engineering, and agent orchestration.
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex.
• Prior experience in a platform or enablement role supporting multiple product teams.

Culture & Benefits

• High-growth, high-performance environment backed by Insight Partners.
• Culture focused on innovation, accountability, and delivering exceptional outcomes.
• Opportunity to work on a global scale managing over 15 million endpoints.
• Collaborative environment emphasizing mentorship and technical excellence.