Support the development and deployment of machine learning and AI models across ALS business functions

Assist in building AI solutions using Large Language Models (LLMs)

Contribute to Agentic AI systems, including tool-using agents, orchestration workflows, and task automation

Develop, train, test, and evaluate conventional machine learning and deep learning models

Work with structured and unstructured data for model development, feature engineering, and data preparation

Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability

Support cloud-based AI and ML development using Azure, Google Cloud Platform (GCP), and AWS

Assist in building model pipelines, experimentation workflows, and deployment processes

Participate in code reviews, technical documentation, testing, and quality assurance activities

Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services

Follow ALS standards for security, privacy, data governance, and responsible AI practices

Requirements Hands-on experience with Google Cloud Platform (GCP)

Experience using cloud AI and machine learning services, model hosting, or MLOps tools

Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search

Experience with APIs, microservices, or integrating machine learning models into applications

Knowledge of version control, testing, CI/CD, and documentation

Exposure to containerization tools such as Docker

Experience working with enterprise data environments or cross-functional technical teams

Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline

Practical experience with machine learning, including model training, evaluation, and deployment concepts

Experience with deep learning frameworks such as PyTorch or TensorFlow





Exposure to Large Language Models (LLMs)

Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants

Programming experience in Python

Familiarity with scikit-learn, pandas, NumPy, or similar libraries

Experience with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS

Ability to work effectively in a team-oriented, hybrid team environment

Strong analytical thinking and problem-solving skills

Willingness to learn

Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use

Must be a citizen or permanent resident of the country applied for, or hold or be able to obtain a valid working visa

Core Competencies Demonstrates expertise in developing and deploying machine learning and AI models, with a strong focus on Large Language Models (LLMs) and cloud-based AI services. Proficient in collaborating with cross-functional teams to enhance model performance and adhere to security and governance standards.

Highest-signal resume keywords Machine Learning Model Development

Large Language Models (LLMs)

Google Cloud Platform (GCP)

Deep Learning Frameworks (PyTorch, TensorFlow)

MLOps Tools

ATS Optimization Keywords Hard Skills Machine Learning

Deep Learning

Python Programming

Feature Engineering

Model Evaluation

Data Preparation

APIs Integration

Containerization (Docker)

Version Control

CI/CD

Soft Skills Analytical Thinking

Problem-Solving

Collaboration

Willingness to Learn

Certifications &

Qualifications Degree in Computer Science

Degree in Data Science

Degree in Software Engineering

Degree in Machine Learning

Degree in Artificial Intelligence

Industry Keywords AI Solutions

Task Automation

Orchestration Workflows

Data Governance

Responsible AI Practices

Tools & Technologies Azure

Google Cloud Platform (GCP)

AWS

Scikit-learn

Pandas

NumPy

Vector Databases

Retrieval-Augmented Generation (RAG)

Microservices

Agentic AI Concepts

📌 Junior Machine Learning Engineer (North Vancouver)
🏢 Jobtailor
📍 North Vancouver