Machine Learning Engineer

Job summary

Build, deploy, and optimize machine learning models for production systems. Responsibilities include maintaining ML pipelines, exposing models via APIs, and collaborating with data and engineering teams.

Job details

Build, deploy and optimise machine-learning models for MailerMen production systems, based in Toronto on a hybrid schedule. Responsibilities Build and deploy machine-learning models Optimise model performance Maintain ML pipelines Expose models through APIs Monitor models in production Collaborate with data and engineering teams Requirements 3-5 years of ML engineering experience Strong Python skills PyTorch or TensorFlow ML pipeline experience Cloud platform experience Skills PythonPyTorchTensorFlowML PipelinesAPIsCloud Benefits Flexible working arrangements Competitive local market compensation Contract opportunity with potential extension Professional development opportunities Exposure to international technology projects Collaborative and diverse working environment Related searches AI & Prompt Engineering Hybrid Jobs in CanadaAll AI & Prompt Engineering jobsJobs in Canada

What you’ll do

Build, deploy, and optimize machine learning models for production systems. Responsibilities include maintaining ML pipelines, exposing models via APIs, and collaborating with data and engineering teams.

Requirements

Requires 3-5 years of machine learning engineering experience with strong Python skills. Proficiency in PyTorch or TensorFlow, ML pipelines, and cloud platforms is necessary.

Benefits

• Flexible working arrangements • Competitive local market compensation • Professional development opportunities • Exposure to international technology projects • Collaborative and diverse working environment

Listed skills

• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• PyTorch
• TensorFlow
• ML Pipelines
• APIs
• Cloud Platforms

Job areas

• Technology
• Software
• Data & Analytics
• Engineering
• Consulting