Senior Machine Learning Engineer

Tekgence Inc; Toronto; On-site; CAD 140,000 - 180,000; Full time

Job summary

A tech consulting firm in Toronto is seeking a Mid-Senior Level professional with cloud-based machine learning experience. This role involves utilizing Google Cloud services and understanding ML technologies. The ideal candidate will have strong programming skills and experience in data science methods. The position offers competitive compensation between CA$140,000 and CA$180,000.

Qualifications

• Must understand general data science methods and the development life cycle.
• Experience with cloud-based ML platforms.

Responsibilities

• Work with Google Cloud Platform services like AI Platform and BigQuery.
• Understand ML concepts and LLMs.
• Automate workflows and ML pipelines with strong programming skills.

Skills

Google Cloud Platform services

ML concepts

TensorFlow

Keras

PyTorch

scikit-learn

Data preprocessing

CI / CD for ML

Python

Kubernetes

Docker

Job description

Responsibilities

• Google Cloud Platform (GCP) services: AI Platform (Vertex AI), Cloud Storage, BigQuery, Cloud Functions, Cloud Pub / Sub, Cloud Build, Airflow, and Cloud Run.


• Understanding of ML concepts and LLMs (training, validation, hyperparameter tuning, evaluation).


• Experience with TensorFlow, Keras, PyTorch, and scikit-learn.


• Data preprocessing, ETL, and data pipelines using pyspark / Scala using serverless dataproc.


• CI / CD for ML (MLOps): Knowledge of CI / CD tools Looper pro / Jenkins; model versioning, continuous training, and deployment using Vertex AI pipelines.


• Automation & Scripting: Strong programming skills in Python, Bash, and SQL; automation of workflows and ML pipelines.


• DevOps & Containerization: Kubernetes (GKE) and Docker for containerization and orchestration; good to have Helm charts and YAML for Kubernetes deployments.


• Monitoring & Observability: Cloud Monitoring, Cloud Logging, Prometheus, and Grafana for monitoring and alerting; model performance monitoring with Vertex AI Model Monitoring.


• Security & Compliance: Understanding of VPC, firewall rules, and service accounts.


• Data Science: Must understand general data science methods and the development life cycle.

Qualifications

• Must understand general data science methods and the development life cycle (from the data science perspective to deployment).


• Experience with cloud-based ML platforms and modern ML tooling as listed above.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting

Toronto, Ontario, Canada CA$140,000 - CA$180,000