Homeoffice Machine Learning Researcher Jobs

Aktuell sind 3 Homeoffice Machine Learning Researcher Jobs in Österreich für September 2023 ausgeschrieben. Auf zuhausejobs.com findest du ausschließlich verifizierte 100% Home Office Jobs.

Aktuelle Home Office Jobs

  • DeepOpinion

    Senior Solution Engineer (Data Scientist), German speaker (f/m/d)

    bei DeepOpinion
    Weltweit remote
    100% Homeoffice oder Innsbruck
    70.000€ – 90.000€
    • Transform data from customers into high-quality input for machine learning and data analysis
    • This involves data gathering from web API's, exploratory data analysis, data cleaning, transforming data, data validation, and optimization of data label quality for the training of high-performance machine learning models
    • Collaborate and communicate internally with the customer success, machine learning & product engineering team
  • XUND Solutions GmbH

    Senior Machine Learning Engineer (f/m/d)

    bei XUND Solutions GmbH
    Homeoffice in ganz Österreich
    100% Homeoffice oder Wien
    ab 3.455€
    • Develop, validate and deploy machine learning models to solve healthcare problems
    • PhD or equivalent industry experience data science or machine learning
    • Professional experience in the application of machine learning methods to real data
    • Software development experience with Python and its machine learning ecosystem (e.g. PyTorch, scikit-learn)
    • Publication record in the field of machine learning or healthcare
    • Experience with Explainable AI (XAI), Causal ML or knowledge representation in medicine
  • Canva

    Senior Machine Learning/Computer Vision Engineer - Image Generation (m/f/x)

    bei Canva
    Homeoffice in ganz Österreich
    100% Homeoffice oder Wien
    ab 60.000€
    • By using cutting-edge AI/ML techniques, you'll help deliver an incredible AI-powered content generation experience to our users
    • Experiment on large-scale cloud infrastructure (GCP and AWS) with high-end hardware, being mostly NVIDIA A10 and A100 Tensor Core GPUs, together with our ML Ops specialists
    • D.) degree in Computer Science (or similar), focusing on machine learning
    • Proficiency with the following technologies is required to be set up for success in this position: Deep learning frameworks such as PyTorch and Tensorflow (we use PyTorch), Python 3, Numpy, OpenCV, Docker & Kubernetes
    • Our projects require picking up knowledge of the state-of-the-art of a specific ML topic quickly since most projects start with a phase of literature research and communicating the context to the team (across timezones)

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