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30.07.2020
★★★★★ Machine Learning Engineer, Ship.Cars Bulgaria EOOD
Месторабота София; Постоянна работа; Пълно работно време
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Machine Learning Engineer

Ship.cars is a U.S. based software development company that delivers products for the logistics industry. We are building things to shake up and change the logistics industry. Native mobile apps, data scientists, single-page web applications, and so much more. We do not shy away from the latest and greatest, and neither should you.
The Bulgaria office is the center of the technology behind Ship.Cars building software solutions.
We are currently looking to expand our Machine Learning Team of experts with a Machine Learning Engineer.

Primary Duties and Responsibilities:
• Passionate ML engineer who will help us build machine learning models for the logistics industry.
• Building state of the art machine learning models.
• Implementing reproducible ML experiments.
• Exploring the available data.
• Collecting and transforming the required data.

Qualifications:
• Good Python programming skills.
• Good understanding of data structures and algorithms.
• Solid understanding of statistical and mathematical concepts.
• Excellent understanding of machine learning algorithms and techniques.
• Data collecting and processing skills.
• Ability to design and implement reproducible machine learning experiments.

We would love to offer you:

• To be part of a rapidly growing tech product company;
• A chance to join a team of professionals that will make you push for excellence;
• To excel your leadership skill in a dynamic and innovative environment;
• Excellent remuneration package to free your mind of everyday worries;
• Additional health insurance package;
• Seminars and team events participation;
• Attractive work environment;
• Remote work;
• Great office location;
• Team building and Christmas party;
• Company nights out;
• 50% sponsored sports card;
• Fresh fruits.

Are you up for a challenge?
Are you ready to join us and take your career to the next level?
Send your CV in English.
Only shortlisted candidates will be contacted for an interview.
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