Data Science Engineer

1 month ago

Toronto, Ontario, Canada Flipp Full time

Overview

We're a team at Flipp that's passionate about using machine learning to drive innovation and excellence in our products. As a Data Science Engineer, you'll play a key role in furthering the use and understanding of machine learning across our organization.

Job Description

In this role, you'll have the opportunity to create scalable machine learning architecture and framework that can be leveraged to further the overall strength of data products and data-driven decision making across Flipp. You will work with the Product, Engineering, and Analytics teams to develop and maintain data processing pipelines and ML model deployment infrastructure; continuously improve the ML framework to standardize and automate processes.

Key Responsibilities

  • Develop and maintain data processing pipelines and ML model deployment infrastructure
  • Implement monitoring solutions to track the health and performance of ML data pipelines in order to identify and resolve issues proactively
  • Conduct regular performance tuning and optimization of ML data pipelines to meet SLAs and scalability requirements
  • Build and maintain key ML solutions to advance product features or augment analysis for decision making
  • Design and develop prototypes and approaches that leverage advanced ML algorithms including recommendation systems, bayesian statistics, segmentation, NLP and deep learning

Requirements

  • 2+ years of relevant experience as a Machine Learning Engineer or in a similar role
  • Experience in working with Scala, Spark, Python, related big data technologies and distributed computing
  • Experience in constructing scalable data architecture using tools like Airflow and Databricks
  • Strong knowledge of standard ML techniques and algorithms
  • Experience in deploying ML models in production following backend software engineering best practices
  • Ability to initiate, drive and lead projects to completion with minimal guidance
  • Proven experience in at least one of following areas:
    • recommendation systems (e.g., filtering, personalization via deep learning / embeddings, semantic relevance)
    • language understanding (e.g., text representation, NLP/LLM, semantic extraction)
    • MLOps platform (model lifecycle management, deployment, serving, monitoring)

Salary and Benefits

$140,000 - $160,000 per year. Our comprehensive benefits package includes health, dental, and vision insurance, 401(k) matching, paid time off, and more.

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