Associate Machine Learning Engineer

Jobtailor; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a Machine Learning Engineer in Toronto, Canada, to design, develop, and deploy AI solutions across global operations. The role involves integrating LLMs and Agentic AI to address business needs, gathering stakeholder requirements, and collaborating with data engineers on content extraction and vector stores.

You will work on building robust data pipelines, optimize AI models for performance and reliability, and apply responsible AI practices with rigorous testing.

Qualifications

• Bachelor's degree in computer science, engineering, or related field; equivalent experience considered.
• 2+ years of experience in machine learning engineering and deploying AI solutions.
• Strong Python programming skills and production-grade AI code experience.
• Familiarity with LangChain, LangGraph, or OpenAI SDK; strong prompt engineering.

Responsibilities

• Design, develop, and deploy AI solutions for global operations.
• Leverage and integrate LLMs and Agentic AI to solve business problems.
• Gather requirements with business stakeholders and integrate AI with existing systems.
• Design with data engineers on content extraction, chunk loading, and vector stores.

Skills

Machine Learning

Python

LangChain

OpenAI SDK

API Development

Data Pipelines

Distributed Computing

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

Google Cloud

LangGraph

Job description

• Design, develop, and deploy AI solutions for global operations
• Leverage and integrate large language models (LLMs) and Agentic AI to solve business problems
• Gather requirements with business stakeholders and integrate AI solutions with existing systems
• Design and collaborate with data engineers on content extraction and chunk/loading to vector stores
• Establish high-quality data pipelines for AI applications
• Assess and optimize AI models and systems for performance, accuracy, and reliability
• Apply responsible AI practices and rigorous testing methodologies
• Research and incorporate emerging AI technologies and methodologies
• Learn from senior engineers and contribute to a collaborative team environment
• Implement efficient human feedback loops to refine AI actioning solutions
• Report to the Senior Director

Requirements

• At least 2 years of experience in Machine Learning engineering
• Proven track record of successfully building and deploying AI solutions
• Familiarity with LangChain, LangGraph, or OpenAI SDK
• Strong Python programming skills
• Bachelor’s degree in computer science, Engineering, or a related field; equivalent technical experience is also considered
• Strong prompt engineering and indexing/retrieval techniques skills
• Experience developing production-grade AI code
• Experience building APIs with best practices and integrating with UI
• Experience with distributed computing frameworks and cloud platforms such as AWS, Azure, or Google Cloud
• Foundational knowledge of machine learning algorithms
• Experience applying pre-built models
• Understanding of data engineering principles, data pipelines, and ETL processes
• Excellent communication skills for cross-functional collaboration and conveying technical concepts to non-technical stakeholders

Core Competencies

Demonstrates expertise in designing and deploying AI solutions, with strong proficiency in Python programming, machine learning engineering, and data pipeline establishment. Capable of collaborating with cross-functional teams and integrating AI technologies to optimize business operations.

Highest-signal resume keywords

• Machine Learning Engineering
• Python Programming
• AI Solution Deployment
• LangChain or OpenAI SDK Familiarity
• Data Pipeline Development

ATS Optimization Keywords

Hard Skills

• Machine Learning
• AI Solutions
• Prompt Engineering
• Indexing Techniques
• API Development
• Distributed Computing
• Cloud Platforms
• Data Engineering Principles
• ETL Processes
• Pre-Built Models

Soft Skills

• Excellent Communication
• Cross-Functional Collaboration

Industry Keywords

• AI Technologies
• Responsible AI Practices
• Data Pipelines
• Performance Optimization
• Rigorous Testing Methodologies

Tools & Technologies

• AWS
• Azure
• Google Cloud
• LangGraph