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Software / Data Engineer (Python, Machine Learning) at Valerann

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  • London
  • fulltime
  • -
  • Nobody can predict what driving will be like in 10 years. Are all vehicles going to be self-driving? Is traffic going to be controlled by a centralized or a distributed system? Are we going to own cars at all? Whatever the future of autonomous vehicles will be, one thing is certain: All around the world we will need roads; modern, safe, and intelligent ones. And Valerann (and maybe you) is going to be there to make this happen.


    Our tech stack:

    Cloud: AWS, Azure, Terraform

    Backend: Python, Kafka, Postgres, FastAPI, Kubernetes, Airflow

    Frontend: React, Mapbox


    Our interview process:

    1) Introduction call (45 min)

    2) Technical interview (90 min)

    3) Meet our management/founders 


    If you want to be part of a dynamic and award-winning start-up and help shape the future of mobility -- join Valerann! We are developing a traffic management solution for highways that are based on a unique multi-level data fusion. We ingest streams of data in our cloud environment from cameras, connected vehicles, sensors, and radars; we run machine learning algorithms to identify various traffic issues and feed them back in real-time directly to the vehicles and to the traffic control centres. We have made huge progress, but we need your help to move to the next level and prepare our roads for the autonomy age.


    Our London-based team is looking for an experienced software engineer. Your primary role will be developing reliable and distributed data pipelines that connect to various sensors and data sources, extract the data and run machine learning models.


    Proven experience that would match our team and technology stack :

    • Python: advanced level (async, OOP, unit tests, api, decorators...)
    • Engineering: Kafka, Postgres, Airflow, Docker, Data connectors, networking
    • Cloud: AWS, Azure, Terraform, bash
    • Analytics: SQL
    • Tools: Github, Jira


    You should also be someone who:

    • Well… enjoy building things that last
    • Enjoy working in a start-up environment: Working in a small Agile team, and taking initiatives
    • Be eligible to work in the UK without a sponsorship
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