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 solid 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

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