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 cooperative 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 CompetenciesDemonstrates 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 (Winnipeg)
🏢 Jobtailor
📍 Winnipeg