Senior Machine Learning Engineer

Job not on LinkedIn

🕒 June 10

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 56%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Takeaway.com

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🍽️ Food & Beverage

📦 Logistics

🏪 Marketplace

Food & Beverage • Logistics • Marketplace

Takeaway. com is the leading online food delivery marketplace in Continental Europe and Israel. The company connects consumers with restaurants through its platform, operating in 14 different countries including the Netherlands, Germany, Belgium, Poland, Austria, Switzerland, Portugal, Luxembourg, Romania, Bulgaria, Israel, France, Denmark, and Norway. As a dominant player in the online food delivery service, Takeaway. com facilitates easy and convenient access to a wide variety of dining options for its users.

📋 Description

• Shape the strategic direction of machine learning infrastructure • Identify opportunities for innovation and improvement • Drive development of solutions that enhance performance and scalability • Collaborate with Data Science team for model deployment and optimization • Architect and oversee development of machine learning pipelines • Manage real-time and batch inference systems • Collaborate with cross-functional teams on long-term solutions • Mentor mid-level Machine Learning Engineers

🎯 Requirements

• Expert-level proficiency with cloud technologies (ideally AWS) • Extensive experience with containerization and orchestration (preferably Kubernetes) • Deep understanding of software development, DevOps, and MLOps best practices • Extensive experience in designing, deploying, and maintaining scalable models and services in production environments • Strong understanding of Machine Learning • Experience with MLflow, Airflow or Dagster • Significant experience with Data Engineering, Kafka, and stream processing • Proficiency in Python and SQL

🏖️ Benefits

• Inclusion, Diversity & Belonging • Professional development opportunities