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Senior Machine Learning Engineer, AI Platform

2 weeks, 6 days ago
Canada
Full-time
Senior
Machine Learning Engineer
Software Development
CI/CD Feature Engineering Machine Learning MLOps Python PyTorch Scikit-learn
Apply Now
Affinity

Affinity

Affinity's powerful relationship intelligence enables teams to use their network to find and close more deals. Reduce data entry and become more data driven. Reimagining relationship intelligence. Using patented technology, we help businesses leverage ...

IT Services
251-1K
Founded 2014
$120M raised
View All Jobs 14

Description

  • Own the full machine learning lifecycle from ideation through production, including feature engineering, model selection, deployment, observability, and evaluation.
  • Translate product and business needs into machine learning system design requirements.
  • Design and launch ranking and recommendation infrastructure, starting with off-the-shelf models and evolving toward customized solutions.
  • Work on information extraction, storage, and retrieval problems across structured and unstructured data.
  • Collaborate with product, infrastructure, data engineering, and software engineering teams to build high-scale ML and data processing systems.
  • Advance the company’s machine learning engineering capabilities in information retrieval and recommendation systems.
  • Build and maintain robust systems that support ML operations and model serving.
  • Develop production-grade codebases that are maintainable and testable.

Requirements

  • 5+ years of experience in software engineering and/or machine learning, with production ML application experience.
  • Hands-on experience developing ranking or recommendation systems from scratch and deploying them at scale.
  • Strong understanding of machine learning techniques, including clustering and decision trees.
  • Experience serving ML models for streaming and batch inference at scale.
  • Experience with vector databases or graph databases.
  • Proficiency in Python and modern ML frameworks such as PyTorch or Scikit-learn.
  • Track record of building maintainable, testable, production-grade codebases.
  • Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications.
  • Experience with dataset engineering, including data curation, augmentation, and synthesis, is preferred.
  • Experience with graph-based recommendation systems such as graph neural networks is preferred.
  • Experience with packaging, CI/CD, and pipeline automation is preferred.

Benefits

  • Base salary range of $160,000 to $220,000 CAD.
  • Extended health benefit premiums covered for employees and dependents.
  • Flexible personal and sick days.
  • RRSP retirement savings plan.
  • Annual education budget and comprehensive learning and development program.
  • Monthly reimbursement for home internet, meals, and wellness memberships or equipment.
  • Virtual team-building activities and socials.
  • Potential for equity or additional benefits, as referenced outside the base salary range.

Interested in this position?

Apply directly on the company website

Apply Now

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