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Senior AI/ML Engineer

  • Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

We’re looking for a Senior/Lead AI/ML Engineer to build and productionize scalable machine learning solutions.

What You’ll Do:

  • Own ML lifecycle: feature engineering, modeling, evaluation, deployment & monitoring
  • Build batch and real-time ML pipelines
  • Develop recommendation, ranking, forecasting, classification & regression models
  • Apply deep learning, neural networks & transformers
  • Build scalable ML systems with MLOps, model registries & feature stores
  • Optimize solutions for performance, reliability & cost

Requirements:

  • Strong Python + Machine Learning experience
  • Production ML/model deployment experience
  • Experience with MLOps and scalable ML systems
  • Strong understanding of ML algorithms and model development
More about this job

Responsibilities

Own the machine learning lifecycle, from feature engineering and model development through evaluation, deployment, and monitoring. Build scalable batch and real-time ML pipelines and production systems, developing models for recommendations, ranking, forecasting, classification, and regression.

Requirements

Requires strong Python and machine learning experience, including experience deploying models in production. Candidates should have experience with MLOps and scalable ML systems, as well as a strong understanding of machine learning algorithms and model development.

Skills

  • Python
  • Machine Learning
  • Feature Engineering
  • Modeling
  • Model Evaluation
  • Model Deployment
  • Model Monitoring
  • Batch Pipelines
  • Real-Time Pipelines
  • Recommendation Systems
  • Ranking Models
  • Forecasting
  • Classification
  • Regression
  • Deep Learning
  • Neural Networks

Visa sponsorship

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Categories

  • Technology
  • Software
  • Data & Analytics
  • Engineering

Keywords

  • Python
  • Machine Learning
  • Artificial Intelligence
  • Feature Engineering
  • Modeling
  • Model Evaluation
  • Model Deployment
  • Model Monitoring
  • Batch Pipelines
  • Real-Time Pipelines
  • Recommendation Systems
  • Ranking
  • Forecasting
  • Classification
  • Regression
  • Deep Learning
  • Neural Networks
  • Transformers
  • MLOps
  • Scalable ML Systems
  • Model Registries
  • Feature Stores
  • Performance Optimization
  • Reliability
  • Cost Optimization
  • Production Machine Learning

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