Machine Learning Engineer

TEEMA; Canada; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading staffing and recruiting firm in Canada is seeking a Senior AI / Machine Learning Engineer to design and maintain scalable cloud infrastructure and automate ML workflows. Candidates should have over 6 years of experience, expertise in GCP tools like BigQuery, and strong Python skills. The role offers the opportunity to work on production-grade applications and focuses on enhancing platform usability. This is a contract position with a mid-senior level of responsibility.

Qualifications

• 6+ years experience in software engineering, cloud infrastructure, data engineering, or ML platforms.
• Experience in retail or loyalty programs preferred.
• Strong CI/CD and DevOps experience.

Responsibilities

• Architect and maintain scalable cloud infrastructure using GCP services.
• Automate and orchestrate end-to-end ML workflows.
• Optimize data pipelines for low latency and cost efficiency.

Skills

Expert-level Python skills

GCP tools expertise

Senior-level hands-on experience with Agentic AI systems

Experience with Kubernetes

Experience with Docker

Knowledge of PyTorch

Experience with Java or SQL

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

Tools

BigQuery

Cloud Composer

Apache Airflow

Job description

Senior AI / Machine Learning Engineer

Senior Associate at TEEMA Solutions Group

We are seeking a Senior AI / ML Engineer with deep hands‑on experience building Agentic AI systems and deploying production‑grade machine learning applications at enterprise scale. This role focuses on designing high‑performance cloud infrastructure, orchestrating ML workflows, and enabling scalable AI solutions.

Key Skills & Technical Requirements (Must-Haves)

• Senior-level, hands‑on experience building Agentic AI systems using the LangGraph ecosystem (LangChain, LangGraph, LangServe, etc.)
• Proven track record delivering production‑scale AI applications (not prototypes)
• Strong experience with Python, LLMOps, and AI orchestration frameworks
• Extensive hands‑on experience with enterprise‑scale AI/ML systems
• Solid knowledge of PyTorch and TensorFlow
• Familiarity with BigQuery, LangGraph, and LangChain
• Experience working with Kubernetes, Docker, and Cloud Composer
• GCP strongly preferred, though highly experienced senior engineers on other cloud platforms may be considered
• Mandatory: At least 2 years of experience in retail or loyalty programs

What You Will Do

• Architect and maintain scalable cloud infrastructure using GCP services such as:
  • BigTable
  • BigQuery
• Automate and orchestrate end‑to‑end ML workflows, including ingestion, feature engineering, model training, evaluation, and deployment
• Enhance platform usability and improve scalability for ML practitioners
• Optimize data pipelines for low latency and cost efficiency
• Implement monitoring, alerting, and disaster recovery mechanisms
• Continuously evaluate emerging technologies and improve engineering best practices

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
• 6+ years of experience in software engineering, cloud infrastructure, data engineering, or ML platforms
• Strong hands‑on experience with GCP tools, including:
  • BigQuery
  • BigTable
• Expert‑level Python skills (technical test will be in Python)
• Experience with Java or SQL for backend or data processing workflows
• Proficiency with workflow orchestration (e.g., Apache Airflow)
• Strong CI/CD and DevOps experience
• Proficiency with Docker and Kubernetes

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Information Technology

Industries: Staffing and Recruiting

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