AI Engineer

Опубликовано 25 июня 2021
Tensill

Аутстаф компания с офисом в Kyiv, Ukraine.

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Опыт:
1-3 года
Формат:
Полный день
Удалённая
Направления:
Data Engineering
Deep Learning
Data Science & AI

Что Вы будете делать Обязаности
  • The key feature of the cradle is being responsive. The sensors in the
    cradle detect for early wakeup signals of the baby - twitch, notch,
    increased movement, activity, startle reflex, changes in breath rate.
  • The cradle acts on these signals and if it is still sleeping time, rocks the
    baby to sleep along with soothing music. Through machine learning,
    the cradle creates personalized sleep recipes to help the baby sleep
    better.
  • The cradle also learns patterns and identifies periods when a baby
    needs maximum attention and soothing. Provides related tips to
    parents to maintain a healthy sleep schedule.
  • Restlessness monitor : Indication of an impending illness or cranky
    baby next day if the baby had a restless night.
  • Baby growth - Weight measurements from oscillations, length, head
    circumference using the 3D camera.

Чем Вы должны обладать
Обязательно

Strong mathematical background, keen sense of complexity estimation, a
paranoia for writing efficient code.

  • Masters in Computer Science or related branches with 2+ years of
    experience in industry.
  • Very strong linear algebra fundamentals.
  • Reasonable DSP skills.
  • Experience with supervised as well as unsupervised learning
    algorithms.
  • Most importantly, the ability to connect the usage scenarios of a system
    with it's basic specifications.
  • The flexibility to feel at home in a technology start-up with a small team
    that demonstrates adaptability to fast changing needs.
Желательно
  • Previous experience in a startup or a fast-growing company a big plus.
  • Experience dealing with large data sets
  • Good applied statistics skills such as distributions, statistical testing,
    regression, etc
  • Excellent understanding of machine learning techniques and
    algorithms, such as k-NN, Naive Bayes, CART
  • Proficient with python, keras, tensorflow
  • Experience on ARM platforms
  • Activity in open-source projects and community leadership (presence
    at conferences, meetups).
  • Experience in software engineering and data engineering is a plus
  • Ability to quickly prototype ideas / solutions and perform critical
    analysis and using creative approaches for solving complex problems.

Что Вы получаете Предлагаем
  • Fast professional growth: significant responsibility for your project.
  • Opportunity to apply in practice and rapidly grow your knowledge.
  • Competitive salary and additional benefits which will grow with the
    company.


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