Artificial Intelligence/ Machine Learning Engineer

TalentSphere

Job title:

Artificial Intelligence/ Machine Learning Engineer

Company

TalentSphere

Job description

Artificial Intelligence Machine Learning Engineer (AI/ML)
Toronto, On
Information Technology
$140,000 and attractive benefitsOur Canadian based SaaS Marketing client, is seeking a Machine Learning Engineering Lead to expand their abilities in data science, machine learning, and development. This position leads a small ML Ops team, and collaborates with our Data Scientists, Data Engineers and Developers to architect data pipelines, build our production machine learning infrastructure and support machine learning research.The Role:

  • Lead, manage and mentor the Machine Learning Engineers on your team
  • Collaborate with our Engineering teams to help build production features that leverage our machine learning technologies
  • Develop infrastructure for rapid machine learning feature prototyping, deployment, and evaluation with customers
  • Build and optimize data lakes and feature stores to feed research projects
  • Apply best practices for ETL and batch processing of database, log, image, and HTML data.
  • Participate in large-scale project planning and stakeholder education

The Ideal Candidate:

  • 5 or more years of experience working with ML Ops or Machine Learning Engineering
  • Experience leading major projects and managing team members
  • Post secondary Degree or Masters in Computer Science or related disciplines with preference given to those with their PHD
  • Experience deploying machine learning models in production, and with production architecture, monitoring and logging
  • Excellent communication and emotional intelligence is required
  • Exceptional experience programming with Python and the associated data science/machine learning packages (e.g. scikit-learn, pandas, xgboost, numpy, scipy)
  • Management of databases (we principally use MySQL, Postgres, and DynamoDB)
  • Cloud infrastructure
  • Experience with web technologies, including APIs (REST and GraphQL)
  • Linux administration and command line tools
  • Agile development, version control, and code review processes
  • Big Data ETL (PySpark)

Expected salary

Location

Toronto, ON

Job date

Thu, 23 May 2024 22:26:48 GMT

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