Data Engineering Infrastructure Architect for Vehicle Damage Detection

il y a 4 jours


Paris, Île-de-France ACV Temps plein

At ACV, we're revolutionizing the used vehicle market with transparency and comprehensive data. As a pioneer in this space, we're looking for an exceptional Data Engineering Infrastructure Architect to join our mission.

Your primary focus will be on building a high-performance data engineering infrastructure to support our ML team's efforts. This entails retrieving and storing data, annotating and generating data, reviewing and improving data, and championing a data-centric approach to leverage all unstructured and structured data of Monk. You'll also define ML ops best practices to enhance the data infrastructure of Monk.

About ACV

We're a network of brands that includes ACV Auctions, ACV Transportation, MAX Digital, and ACV Capital within our Marketplace Products as well as True360 and Data Services. Our collaboration with international leading players, such as our parent company ACV Auctions (USA), CAT logistics (Europe), Getaround (France), Autobiz (Europe), or Hgreg (Canada), has established us as a trusted partner in the industry.

Responsibilities
  • Design and implement a scalable data engineering infrastructure to support ML workflows
  • Develop and maintain efficient data pipelines to retrieve, store, and process large datasets
  • Annotate and generate high-quality training data for machine learning models
  • Collaborate with cross-functional teams to integrate data engineering solutions into existing systems
  • Define and enforce best practices for data quality, security, and governance
Requirements
  • Extensive experience in backend engineering and software engineering, with expertise in building scalable applications
  • Proficiency in SQL and NoSQL databases, including Postgres and SQLAlchemy
  • Experience with Python, Flask, RabbitMQ, OpenAPI, Torch, ClearML, and Ray is highly desirable
  • Familiarity with data-intensive applications, focusing on scalability, reliability, robustness, and observability
  • A mindset for data-oriented decision-making, with a focus on measuring results and acting upon them
What We Offer
  • A competitive salary range of approximately €80,000 - €120,000 per annum, commensurate with experience
  • A hybrid work environment, allowing for flexibility between remote and office-based work
  • A comprehensive benefits package, including health insurance through Alan
  • Professional development opportunities to grow your skills and expertise


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