- 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 team-oriented 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 KeywordsHard 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

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📌 Associate Machine Learning Engineer (Toronto)
🏢 Jobtailor
📍 Toronto