Software Engineer, Data

    Swarm Analytics Published: August 26, 2020
    Location
    Innsbruck, Austria
    Job Type

    Description

    Swarm Analytics develops revolutionary AI technology for transforming cameras into smart sensors. It is able to extract real-time information from video streams directly at their source with unparalleled efficiency.

    Role Description:

    You will be part of the engineering team and work closely with our deep learning engineers. Together we build faster, smarter, and more affordable computer vision-based systems for smart cities. You will be responsible to transform raw data into production models and be involved with all smart city solutions (traffic monitoring, people insights, parking).

    Responsibilities:

    • Define and push the technology stack for Athena (Swarm data platform)

    • Build data pipelines for data gathering, data ingestion, and data labeling

    • Work on synthetic data generation

    • Define labeling guidelines, semi-automatic labeling

    • Build and release data sets with insights, run experiments (model training)

    • Train, test and deliver production models

    Minimum Requirements:

    • 2+ years of experience as a data engineer/scientist in the field of computer vision (delivered data sets and models to production)

    • 3+ years of professional software expertise (delivered production code)

    Preferred Requirements:

    • Experience with Python, GIT, REST API, DB

    • Experience with Docker, Cloud (Azure or similar)

    • Experience with training frameworks (Pytorch or similar)

    Conditions:

    • Starting date in November 2020

    • Permanent full-time contract (38,5 hours/week)

    • Flexible working time

    • An office in the heart of the Alps (okay, that's not our merit, but still great!)

    • An annual minimum wage starting from 55.500€  gross

     

    We look forward to receiving your application directly online via the form “Apply now” on our website: https://www.swarm-analytics.com/jobs/software-engineer-data/

    You can find more information on our homepage and social media channels: Facebook, LinkedIn & Instagram.

    If you have any questions, please read the FAQ on our careers page or contact our People & Culture Manager Sarah Nobis at [email protected].

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