Junior Machine Learning Engineer – Alerts Team

This is a fully remote position, open to applicants in Canada.

📋 Description

• Model Development & Fine Tuning: Create, construct, and deploy machine learning models throughout their entire lifecycle.

• Fine-tune and customize large language models (LLMs) utilizing domain-specific alert data.

• Upgrade existing models to the latest versions.

• Engage directly with Python machine learning libraries including PyTorch, TensorFlow, Hugging Face, and XGBoost.

• Collaborate with data and engineering teams to develop scalable machine learning pipelines.

• AI Agent Development & LLM Orchestration: Design and execute AI agents.

• Integrate with APIs from OpenAI and Anthropic.

• Ensure agent workflows are observable, verifiable, and resilient in production environments.

• Monitor and report on model performance, drift, and inference latency in production settings.

• Technical Excellence: Establish high standards for code and model quality through thorough reviews of code, experiments, and evaluation outcomes.

⛳️ Requirements

• A minimum of 2 years of professional experience in a machine learning or applied machine learning engineering position.

• Familiarity with natural language processing (NLP), text classification, or information retrieval is a significant advantage given our domain.

• Comfort in working with large, noisy, real-world datasets.

• Proven experience in building and managing AI agents or LLM-driven systems in production.

• Practical experience with OpenAI and/or Anthropic APIs, including tool usage, streaming, and prompt management.

• Experience in evaluating the outputs of machine learning components (e.g., precision and recall).

🏝️ Benefits

• Opportunities for professional development.

• Flexible work arrangements.