Machine Learning Engineer
Hi there! We are Tooploox and we work on projects that improve people’s lives - in line with our mission, we have already changed the way people invest their money, build houses and take care of their health (just take a look at our client portfolio). Feel invited!
What you will do:
- Implement both established and
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- art machine learning methods for content analysis,
- data extraction, content classification, and others - Work on the algorithms from the idea stage all through to the deployment on production
- Interact directly with various types of clients, from startups to multinational companies such as e
Bay - Assure the integrity of project data (data extraction, storage, management, processing, and analysis)
- Work with
- class researchers and scientists to develop new machine learning methods and approaches
Experience and skills you need to join us:
- Team-work attitude with great communication skills
- Software development and coding skills: Python, clean code, code reviews, algorithms and data structures
- Experience with image processing, ML solutions for Computer Vision, classical algorithms for image processing
- Knowledge of machine learning: basic problems in ML modeling, types of modeling, popular models, ways of evaluating the models etc.
- Data-based
- solving skills, i. e. ability to propose an appropriate tool from either ML, statistics, or software development toolbox to solve client’s problem. - Basics of statistics:
- value,
- test, confidence interval, correlation, independence of random variables - Fluency in English (you will attend meetings with English speaking clients).
It would be great if you also have:
- Fluency in deep learning/machine learning libraries:
- learn, keras, pytorch, tensorflow, etc. - Leadership/mentoring experience
- Publication track record in
- tier machine learning/computer vision/natural language processing venues (CVPR, NIPS, ECCV, ICML, ICASSP, ICLR) - MSc/Ph
D in computer science, machine learning, signal processing, or related fields
Fii primul, care se va înregistra la oferta de muncă respectivă!
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