Machine Learning Engineer

1 week ago

Toronto, Ontario, Canada AMISEQ Full time

This role focuses on building and running large-scale machine learning systems that power Client's advertising platform, helping sellers optimize their ads while ensuring fast, reliable, production-ready ML services

What you'll do day to day

  • Work closely with
    data scientists, researchers, engineers, and product teams
    .
  • Build systems that:
  • Recommend
    where ads should appear
  • Suggest
    which products to advertise
  • Choose the right
    keywords, bids, and budgets
  • Turn machine learning ideas into
    real, live systems used by millions
    .
  • Build and manage:
  • Data pipelines (getting data in the right shape)
  • ML models (training and improving them)
  • Deployment systems (getting models into production)
  • Monitoring tools (making sure everything keeps working)
  • Improve system speed so ads show
    quickly and reliably
    .
  • Analyze results, run experiments, and explain insights in a way
    non-technical teams can understand
    .
  • Monitor production systems and help fix issues if something breaks.

What kind of engineer they're looking for

They want someone who:

  • Can
    code well
    (Python, SQL, Java/Scala).
  • Understands
    machine learning basics
    and how to apply them in real products.
  • Has experience
    putting ML models into production
    , not just building them in notebooks.
  • Knows how to work with
    large-scale data
    (Spark, big databases).
  • Understands how ML systems run at scale (cloud, GPUs, autoscaling, monitoring).
  • Can debug problems and communicate clearly with different teams.

Bonus points if you've worked with:

  • Deep learning / LLMs
  • Monitoring tools like Grafana
  • Dashboards and visualization tools

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