Group Machine Learning Lead - Wien, Österreich - Rohlik Group

Rohlik Group
Rohlik Group
Geprüftes Unternehmen
Wien, Österreich

vor 1 Woche

Anna Müller

Geschrieben von:

Anna Müller

beBee Recruiter


Beschreibung

We are looking to hire a Machine Learning leader who will work together with their team to turn business questions into data analysis effectively and provide meaningful recommendations.

You will be a great fit for the role if you are naturally curious and gravitate towards tools and resources that enrich the team.

As a people manager, you will be passionate about supporting others to achieve the highest level of service in every interaction.

Insisting on the highest standards, you will hold yourself and your team accountable for delivery, continuous improvement and experimentation while keeping things simple.


Your

responsibilities
**- Europe's leading online grocery delivery service. Wherever we are, we deliver the country's largest assortment from both top brands and local farmers in less than three hours in 15 minute time slots, saving our customers time and giving them freedom and flexibility.

  • We are on a mission for our customers' healthier and happier lives by helping them eat and live better. Marrying stateoftheart technology and logistics with love for food, we deliver up to 20,000 SKUs of high quality groceries to our customers' doors. We carry all the favorite brands, plus a range of affordable ownlabel products. In every city we carefully select the best quality and freshest local produce to save our customers time; from butchers to bakery, and fresh produce directly from farmers via our unique FarmtoDoor program.
  • Today we have 850,000+ customers in major European cities from Vienna to Munich and beyond. Last year we delivered more than 8 million orders.
  • Your responsibilities:
  • Lead a team of ML Engineers (~5).
  • Define a bestinclass machine learning vision and strategy, develop and grow your team of elite machine learning experts.
  • Innovate and create products bringing new value to our users and customers.
  • Work with partners to translate business challenges into Data Science problems and analyze various kinds of data to produce actionable insights.
  • Transform large amounts of complex data into business insights and solutions by using the latest technology in ML, AI, innovations and analytic methodologies.
  • Develop ML models as needed to move new ideas fast, in an agile way, into working products giving value.
  • Architect, build, maintain, and improve new and existing suite of algorithms.
  • Set your team's technical direction.
  • Review your team's code.
  • Share knowledge and adopt best practices,
  • Promote team cohesiveness, positive culture and good team spirit.
  • Attract and hire the right talent.

Your

experience
**- Experience with building innovative end-to-end Machine Learning systems and deploying a range of deep learning models into production.

  • Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
  • Strong experience with ML stack and platforms.
  • Flexibility in finding solutions, ability to iterate, evaluate and make decisions quickly.
  • Not being afraid to speak out loud and challenge the status quo.
  • Focus on the result, not the activity and process.
  • Great time management.
  • Masters, Ph.
D., or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.).


About

Rohlik

Rohlik is the leading Central European e-grocer.

  • Already active in the Czech Republic, Hungary, Austria and Germany. And other countries are coming soon.
  • Are we a good fit?
  • IT**
    What we

offer
**- Personal growth

  • Real impact and meaningful work
  • Work freedom
  • Fair remuneration
  • Peer recognition
  • Unpaid premium membership
  • Sport challenges
  • Great team

Are we a

good fit?
**- Our goal in life is to make other peoples' lives better. Such a mission is difficult, life at Rohlik is difficult - it is not for everyone.
Is it the right one for you?

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