Takeaway.com
1001 - 5000 employees
Founded 2000
👥 B2C
🏪 Marketplace
🛍️ eCommerce
B2C • Marketplace • eCommerce
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.
Senior Machine Learning Engineer
Job not on LinkedIn
🕒 June 10
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Takeaway.com
1001 - 5000 employees
Founded 2000
👥 B2C
🏪 Marketplace
🛍️ eCommerce
B2C • Marketplace • eCommerce
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
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