Deep Learning Engineer

Employer: Team Extension
Domain:
  • Engineering
  • IT Software
  • Job type: project-based
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 04.12.2016
    Short company description

    Team Extension is a nearshoring and offshoring technology company based in Bucharest, Romania.

    Working with us, you will have the opportunity to work with a wide spectrum of clients and projects. Our clients include startups and Fortune 500 companies that are based in Western Europe and in the United States.

    At our company, we are building a team of smart, motivated people who are passionate about helping the business continue to soar to new heights. We are well funded and in hyper growth mode. Come join a team where you can truly make a difference.

    Requirements


    A Masters or Ph.D. degree in deep learning, computer vision, machine learning computer science, data science or a similar field (preferred), 3+ years of experience or a striking passion to develop and expand deep learning technologies and the foundation to get up to speed with:
    · Implementing deep-learning algorithms in C/C++, Java, and Python, openCV, with a focus on neural networks for image recognition.
    · Familiarity with DL libraries such as Caffe/ TensorFlow/ Theano or similar frameworks.
    · Technical proficiency GPU programming using CUDA.
    · Ability to deploy/ run ML codes in the cloud – AWS P2 instance.
    · Agileness and willingness to work independently and be self-driven.

    Responsibilities

    Deep Learning Computer Vision Specialist to develop Image Recognition and Matching Engine using Deep Learning networks
    We are looking for a bright image processing expert to develop the image recognition side for an existing mobile application.
    You should create and rigorously train a neuronal network starting off with the Imagenet library (for ex) for a period of 2 months for approx 3'000 classifiers (groceries). Implement, evaluate and improve deep learning algorithms to improve classification performance.
    You should also enable continuous training from the users' input. Simplified, our app would send the picture(s) in the Amazon AWS P2 instance where the deep-learning network does the hard part in recognizing the grocery item and then sends back the text results back to the app, shows matching classifiers to the user and the user selects just a tag if that's the case.
    Prefer somebody with strong passion and industry experience in similar projects. You should be an expert in CNNs, Caffe, TensorFlow or a similar framework.

    Other info

    You’ll not only be able to mention this experience in your C.V., onto Linkedin or your freelancer portfolio but also have the opportunity to work with a trending startup that is run by serial entrepreneurs on a topic you're passionate about and is actual.

    Great-to-have Skills
    - Excellent communication skills, both verbal and written (English)
    - Excellent problem solving abilities
    This position is based in Bucharest, Romania.