Machine Learning Engineer

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B2B contract

80 - 120 PLN

Net per {frequency, select, HOUR{hour} MONTH{month} other{}}

Employment contract

13 000 - 20 000 PLN

gross per {frequency, select, HOUR{hour} MONTH{month} other{}}

Used Technologies and Requirements

Must have
  • Python (1 year EXP)
  • SQL (1 year EXP)
  • RESTful API (1 year EXP)
75%10%5%5%5%
Development
Maintenance
Meetings
Testing
Other tasks

Work Conditions

Job type:Full Time Job
Contract Type:Employment / B2B
Work hours:8h per day / 40h a week
Preferred Office hours:09:00 - 17:00
Contract duration:Permanent
Possibility of remote work:
1 day a week, to be agreed with Team Leader
Delegation involved:0
Location:
Aleje Jerozolimskie 61,
Warsaw, Poland

About Project

Start date:ASAP
Project team size:20-50
Project Industry:Media, E-Commerce, Digital
office desk

Cosmose is a fast-growing software company on a path to revolutionize the $600BN advertising industry. Its OMNIcookie, a cookie for the physical world, reaches over 1 billion smartphones in Asia. Cosmose delivers results for the world’s biggest luxury and cosmetics brands, including L'Oreal, LVMH and Cartier. Since 2014, Cosmose has grown to 1B smartphones, 350K stores, 3 offices, 2m accuracy, 1 AI brain and 50+ world's best talents. We’re proud of our achievements and growth, but... we haven't even started yet. cosmose.co Joining us - means working with strong, smart and innovative team located in our Warsaw R&D Center. We ask hard questions and challenge each other to constantly improve our work. Currently, we are looking for an expert in machine learning to help us extract value from our data and create artificial intelligence products. You'll be part of a growing team, crafting our infrastructure and delivering value to our customers.

Languages

English:
A1 A2 B1 B2 C1 C2 Native

Other requirements

Proficiency with Python, SQL, RESTful API and libraries such as Pandas, SciPy, NumPy, Scikit-Learn, Matplotlib Familiarity with Jupyter Notebook Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch Practical knowledge of Linux OS (Ubuntu) Demonstrated ability in the application of Machine Learning in real-world industrial settings with large scale data Hands-on working experience with ML models for time series forecasting Knowledge of core CS concepts such as: common data structures and algorithms Proactive attitude - we hire people that have a strong desire to do better and be better Outstanding analytical and problem-solving skills BSc in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science or similar field Experience working with agile software development methodologies (scrum)

Benefits

Training budget
Language courses
Integration events
Game console
Bike parking
Kitchen
Good coffee
Free drinks
Free snacks

Other Benefits

Referral bonuses

Machine Learning Engineer

Cosmose sp. z o. o.