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Our company is built by people and for people who believe that the synergy of outstanding individuals gathered together can tackle any global challenge. We value who you are so get on board and let’s make this world a better place.
9 вересня 2020

Deep Learning Engineer (вакансія неактивна)

Job Summary

As a member of our Research Team, you will be solving challenging problems. You will be engaged in an iterated process of data preparation, prototyping and/or implementation, measurement, and deploying your solution together with the back-end team. You will work closely with members of our Research and Engineering teams to improve models and bring products to the market based on your research.

Qualifications and Skills

— 2+ years in machine learning (computer vision domain)
— Practical experience in at least one of the following problems: segmentation, generative models.
— Python3, numpy, scikit-learn, pandas, scipy.
— Deep learning frameworks:TensorFlow and PyTorch is a must; Keras is plus.
— Experience in deploying machine learning models to production
— Good understanding of machine learning and deep learning concepts.
— Good written and spoken English

Nice to have

— Practical experience with GANs, VAEs
— Probabilistic programming and bayesian framework
— Model optimization: pruning, quantization, knowledge distillation
— Basic understanding of web and client-server architecture
— asyncio, aiohttp, and other async libraries for back-end
— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing
— Algorithms, data structures
— SQL, NoSQL
— Docker, Kubernetes, Kubeflow
— Bash

We offer multiple benefits that include

— Opportunity to influence the products’ quality supporting company mission to make neighborhoods safer
— Challenging tasks and professional growth
— Competitive salary and perks
— PE accounting and support
— 18 paid vacation days per year, paid public holidays according to the Ukrainian legislation
— Social package, including gym membership compensation, medical insurance
— Free office meals, fruits, and cookies
— Educational possibilities, knowledge hubs, and free corporate English classes
— Career plan, professional growth, and semiannual performance review.

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