AI Engineer for Dataclair AI Centre (m/f) v Praha –… - Jobeax
Popis nabídky
AI Engineer for Dataclair AI Centre (m/f) v Praha – Michle, Česko
O2 Czech Republic a.s.
HybridníKombinace kanceláře a práce na dálku
18k Kč CZK
Czech Republic
AI Engineer for Dataclair AI Centre (m/f) v Praha – Michle, Česko is listed on Jobeax. Browse 80,000+ vacancies available.
We are thrilled to announce a new position within our Dataclair team.
We’re looking for a skilled hands-on AI Engineer with a desire to grow into a position in the world of data science. If you join our team in this role, you’ll have a unique opportunity to shape our flagship products and be at the forefront of transforming the telco business.
In this role you’ll be deeply in hands-on delivery and have an opportunity to grow within the team. You’re the right candidate if you’re a fast thinker with the “work hard, play hard” attitude, you’re a passionate innovator and you’re good at explaining what you do and why you do it.
Your day-to-day job will include
Hands-on coding
Designing of complex ML products and pipelines
Use primarily Python and libraries for Machine Learning (e.g., TensorFlow, PyTorch, Sklearn etc.) in Azure
Process big volume of telco data using (py)Spark in Azure
Cracking challenging problems of how to develop, productionalize and deploy models over messy telco big data
Collaborate with other engineers, product managers, and other teams within Dataclair to accelerate development and deliver compelling machine learning products within complex telco environments
Staying up to date with state-of-the-art advances in machine learning
Skillset and qualifications you’ll need
Master’s degree or relevant work experience
1+ years in the field
English in full professional proficiency (you will communicate with non-Czech speakers daily)
Excellent coding skills in a major programming language relevant to the field (Python, R, etc.)
Excellent skills with one of the major ML/DL packages
Familiarity with SQL
Experience with practical data science and hands-on involvement with deployed ML pipelines in a business environment
What to expect
A mission that goes beyond performance and profit (“AI for good” is our mantra)
Hybrid working mode
Seasoned leaders you can count on
A company culture that helps the team to perform highly and humanly at the same time
Regular bonus pays based on your KPI
Employee benefits (scroll down for details)
Good-to-know about Dataclair
In short, we do AI. In full, we do AI to make the world a better place.
We are strong advocates of fair machine learning in a business environment. We implement and deploy our ethical AI algorithms so that they elevate human condition, improve quality of life, and generate significant profits at the same time.
Dataclair has been founded by the biggest Czech telco operator O2 as a centre of AI R&D and business application in telco, finance and pharma. It combines the best of both the corporate and startup worlds – a stable working environment, inspirational colleagues and bold mission.
Our website: https://jobeax.com/link/d5htOhDUcWjHyeFi The company we’re a part of: https://jobeax.com/link/R9Dv9OVWg9m8w358 The place where we stay: https://jobeax.com/link/Kg3m1MGblmGZdgl7
We can offer you
You will be in touch with the latest technologies and new trends
Contribution to a work mobile phone of your choice up to CZK 18,000
Cafeteria 18,000 points
Meal allowance CZK 123/work day
Recharge break - after every 5 years of employment, employees are entitled to an additional 20 days of paid leave
25 days of vacation
3 sick days
Unlimited employee tariff
Discounted O2 TV and home internet
Discounted language courses
O2 offers a wide range of other benefits. You can find a list of all benefits at: https://jobeax.com/link/6abz2JpSwr3Pbq8R
... - A company culture that helps the team to perform highly and humanly at the same time - Regular bonus pays based on your KPI - Employee benefits (scroll down for details) Good-to-know about Dataclair In short, we do AI. In full, we do AI to make the world a better place. We are strong advocates of fair machine learning ...
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