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Machine Learning Engineer

🕒 yesterday
Machine LearningPythonPytorchTensorflow

📜 Description

  • Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
  • Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural
  • Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs
  • Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
  • Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback

🛠️ Requirements

  • and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
  • Hiring and how we work
  • We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
  • Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let

Benefits

  • Competitive pay
  • Generous time off
  • Ample parental and wellness leave
  • Healthcare
  • Retirement savings program
🕒 10 days ago

Optimize and deploy machine learning models on embedded platforms, focusing on the trade-offs between model quality and computational efficiency while collaborating with researchers.

📍 🇫🇷 France - Remote💰 €75k - €90k / year💼 Full-Time🎹 Mid-level🗣️ Machine Learning Engineer📢 🇬🇧 English Required📢 🇫🇷 French Required
Machine LearningDeep Neural NetworksPytorchPython

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