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Strong Junior or Middle machine learning engineer in Artellence

Posted more than 30 days ago

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Artellence

Artellence

0
0 reviews
1 year
Kyiv
Intermediate
Full-time work

Translated by Google

Big data, AI and defense are what we combine in our work. We work "at the cutting edge of innovation", analyze large data from social networks, identify groups of people based on photos, solve other useful tasks for the defense sector and business. Why should the vacancy interest you?- An opportunity to combine the creation of high-tech products and work in the interests of the Armed Forces- We are developing AI technologies for the analysis of groups of people, which are unique on a global scal

Big data, AI and defense are what we combine in our work. We work "at the cutting edge of innovation", analyze large data from social networks, identify groups of people based on photos, solve other useful tasks for the defense sector and business.

 

Why should the vacancy interest you?

- An opportunity to combine the creation of high-tech products and work in the interests of the Armed Forces

- We are developing AI technologies for the analysis of groups of people, which are unique on a global scale. Almost like in Black Mirror. We have interesting, unusual and a lot of drive

- At each position, we provide freedom of action, "creativity", as well as give difficult tasks and help them solve them, which allows you to very quickly pump up your skills and see the results of your own jobs

 

Technical requirements:

- Commercial experience in MLE/DS from 1 year or experience of successful presentations at hackathons/Kaggle

- Deep knowledge of algorithms and data structures, deep understanding of OOP, deep theoretical and practical knowledge of machine and deep learning

- High level of Python proficiency, including experience with machine learning and mastering libraries at least one of the deep learning frameworks (Tensorflow, Keras, PyTorch)

- Experience with feature engineering

- Experience with Git and Docker

- Experience with NoSQL and SQL databases

- Experience with NLP tasks

Will be a plus:

- Experience working with MongoDB, Jupyter, Airflow and SQL

- Experience with facial and object recognition

- Understanding of the principles of parallelism in Python and experience with relevant libraries

Example tasks:

- Improving the accuracy of current models

- Developing and deploying models in production environments

Translated by Google

1 year
Kyiv
Intermediate
Full-time work
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