- 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 collaborative, hybrid team environment
- Robust 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

#J-18808-Ljbffr

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