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Junior Machine Learning Analyst in Slice Technologies

Posted more than 30 days ago

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Slice Technologies

Slice Technologies

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26 липня 2024 Перша робота Junior Machine Learning Analyst віддалено We are looking for a Junior MLA Engineer. Who are we looking for? We are looking for candidates who have an analytical mindset to explore the data, be creative, and use a trial and error approach to discover possible ML algorythm improvements. Candidate should master the English language on the perfect Intermediate or good Upper-Intermediate level (speaking / reading / writing). This position is designed to support

26 липня 2024 Перша робота

Junior Machine Learning Analyst

віддалено

We are looking for a Junior MLA Engineer.

Who are we looking for?

We are looking for candidates who have an analytical mindset to explore the data, be creative, and use a trial and error approach to discover possible ML algorythm improvements.
Candidate should master the English language on the perfect Intermediate or good Upper-Intermediate level (speaking / reading / writing).

This position is designed to support existing Machine Learning (ML) algorythms by providing quality training data. Team is responsible for data delivery to clients, so the job includes a lot of manual quality checks. Candidate will also practice diverse analytical methods to monitor data, get to know data visualization and reporting.
No prior experience or knowledge in ML or data analysis is required. New employee will be trained during probation period.


Requirements:

— Advanced English
— Analytical / investigative / innovative mindset
— Ability to focus on details
— Resistance to routine

Would be a plus:

— Understanding internet-shop catalog management
— Prior work with data (analysis, reporting)
— Basic SQL knowledge

We offer:

Working hours: 5 days per week, 8 hours per day
Starting salary: $600 (payday twice a month)
Probation period: up to 3 months (payable)
Medical insurance (after probation)
Bonuses for self-development (after probation): various possibilities for self-development in the area you are interested in, like foreign or programming languages classes (especially if it intersects with the interests of the company)

Career opportunities:

After some time (and after obtaining new skills and hands-on experience) you can grow professionally up to:
— Machine Learning Engineer
— Data Scientist
— Data QA Engineer
Our company’s policy is to make every effort to help employees grow professionally. We provide internal and external training programs, support your self-development, etc. And all the team leads work hard on making your work challenging and exciting!

Without experience
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