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Early-Career Machine Learning Engineer

Jobright Ai — Canada · Posted ~2 hours ago

Junior

Skills

machine learning AI infrastructure scalable systems data processing model monitoring data analysis data visualization reporting AI agents

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Summary ✨ AI‑Generated

An AI-focused technology organization is seeking an Early-Career Machine Learning Engineer to help build scalable infrastructure for AI agents while improving data processing and automated model monitoring. The role also involves producing data reports and visualizations, responding to analytical requests, and communicating complex findings clearly to technical and business stakeholders. It offers high ownership and exposure to real-world AI workflows.

Highlights

Early-career opportunity with high ownership, direct exposure to production AI agents, and a broad mix of infrastructure, data analysis, reporting, visualization, and model-monitoring responsibilities.

Description

Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking an Early Career Machine Learning Engineer to design, build, and maintain scalable infrastructure for AI agents, as well as optimize data processing and develop automated systems for model monitoring. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • Integrate yourself directly into client and internal workflows to ensure data-driven insights are a vital part of AI agent analysis and decision-making • Produce custom, timely data reports and visualizations that provide expert analysis for both internal product teams and external clients • Handle data-related requests promptly and satisfactorily, communicating complex findings in an effective, consistent, and professional manner • Report to a manager and work regularly with other members of the team to refine data models and agent performance Qualification Required • Recent graduate or entry-level professional with 0–2 years of experience in data analysis or a related technical field • Strong communication and interpersonal skills, with the ability to explain data trends to both technical and non-technical stakeholders • A strong knowledge of statistics, data analysis methodologies, and the logical frameworks of AI and machine learning Preferred • Previous internship or project experience as a data analyst, support staffer, or researcher within a tech environment or AI-focused company • Proven experience working with analytics to provide practical and digestible insights gleaned from complex data sets • Technical skills such as coding (Python/R), data modeling, and database management (SQL)