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Doctolib

MLOps Engineer - Data Ingestion (x/f/m)

Doctolib
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1 day ago
Paris, France
Senior / Staff+

Responsibilities

  • Design and implement end-to-end ML model pipelines in production.
  • Own data pseudo-anonymization architecture within ingestion services.
  • Build and maintain secure data export services with ML-based threat detection.
  • Manage golden datasets and implement production model evaluation frameworks.
  • Build and maintain data pipelines for efficient data extraction, transformation, and loading.
  • Implement automation and orchestration tools using ML orchestration platforms.
  • Monitor data and ML platforms for performance, reliability, and security.
  • Mentor team members on MLOps expertise and best practices.

Requirements

  • At least 7+ years as an MLOps Engineer or ML Platform Engineer.
  • Expert-level experience with ML orchestration tools for batch processing.
  • Strong Site Reliability Engineering foundation focused on operations excellence.
  • Expertise in Python for automation and ML pipeline scripting.
  • Proficiency with infrastructure-as-code tools and container orchestration.
  • Experience with model evaluation frameworks and golden dataset management.
  • Solid understanding of cloud infrastructure (preferably GCP, AWS, or Azure).
  • Excellent problem-solving skills focused on infrastructure bottlenecks.
  • Fluency in English.

Benefits

  • Free comprehensive health insurance for you and your children.
  • 25 days of paid vacation per year, plus up to 14 days of RTT.
  • Free mental health and coaching services.
  • Work from abroad for up to 10 days per year.
  • Lunch vouchers worth €8.50 per working day.
  • Subsidy for sport club or creative class memberships.
  • 50% reimbursement of public transport subscriptions.
  • Additional month of leave for parental leave.
  • Support for caregivers and workers with disabilities.
  • Relocation support for international mobility.
  • Access to the best AI tools for coding and development.

Tech Stack

AWSAzureGoogle Cloud PlatformJavaKotlinKubernetesMLflowPythonReact NativeRuby on RailsSwiftTerraformTypeScript

Categories

AI & MLData EngineeringDevOps