RECOMMENDATIONS ENGINEER (Campaigns AI team)

Apply

RECOMMENDATIONS ENGINEER (Campaigns AI team)

contractFulltime
walletFixed base monthly salary from 2000 EUR
walletCompetitive salary reflecting your motivation and maturity (monthly fixed & variable salary from 2000 EUR to 4000 EUR + stock options)
location-pinBratislava, Slovensko

We are Exponea, an internationally renowned e-commerce cloud – a tool for in-depth analysis and marketing automation for online businesses. We work with global e-commerce leaders and top companies from all over the globe.

 

We are currently expanding our Recommendations team and are looking for a new colleague as Recommendations Engineer. Could you be one of them?

Our team:

The vision of the Recommendation team is to improve customer experience on the web through personalization. It empowers our clients to better connect with their customers, and on the other hand, customers shopping online are able to find relevant products out of thousands products available. We are building a recommender system platform which works out of the box using customer behavior data on a website and focuses on long-term revenue optimization of our clients. The main challenge is to build a robust recommender system which works well across a wide variety of e-commerce companies. We strongly focuses on the application to bring value for our clients and we are eager to try the latest research advancements.

Competency

We’re looking for someone who:

Must have:

  • Ability to write clean and concise code in Python
  • Ability to collaborate in a cross-functional team using strong written and verbal communication
  • Understanding of Machine Learning (Artificial Intelligence), Data Mining, Information Retrieval and Optimization
  • Experience with iterative and test-driven development
  • Understanding of core Computer Science concepts such as data structures and algorithms
  • Interest in the latest research in the field
  • Solid experience in building RESTful APIs
  • Comfortable writing database queries (SQL, NoSQL)

 

Nice to have:

  • Experience with machine learning libraries, such as MLlib or scikit-learn, or any deep learning frameworks, such as TensorFlow or PyTorch
  • Experience productionizing machine learning models
  • Experience in designing and building infrastructure at scale
  • Experience in asynchronous tasks processing, message queues, technologies such as Apache Kafka or Celery

 

Our Tech Stack

  • Python
  • Google Cloud Platform
  • Tensorflow
  • Apache Spark
  • Apache Kafka
  • Kubernetes
  • PostgreSQL, Redis

Challenges

  • Recommendation Models Creation using AI/ML Techniques – Building modern recommendation models and model ensembles to tackle cold-start problems
  • Data Preparation – User modelling based on implicit and explicit feedback and  products modelling extracting features from product catalogue
  • Automatic Recommender System Optimization – Building interactive learning algorithms able to adapt over time
  • Quality Monitoring – Online/offline evaluation metrics tracking and setup of monitoring/alerting for hundreds of ML models
  • Building Domain Specific Language (DSL) for incorporation of business rules into algorithms using products filtering and boosting/ordering
  • Product Discovery – Improving the shopping experience by generating or reordering elements on the web page to show personalized products with explanations and product badges

 

What you might like about Exponea:

  • A great deal of freedom and trust. At Exponea we don’t clock in and out, and we have neither corporate rules nor long approval processes. We are interested in results from day one. The freedom goes hand in hand with responsibility.
  • Learning, personal development and professional growth.
  • Entrepreneurship and leadership lessons. You will gather valuable know-how for your own business. Our CEO Peter Irikovský’s goal is to support our people in starting their own successful businesses. Easier done with the money and know-how you will have obtained here. (Read more of what Luna, our E-Commerce Growth Specialist has learnt about growing a business).
  • Flexible working hours. Remote work and home office are possible.
  • Reward based on your commitment and capabilities.
  • Possibility to co-own the company through employee share program.
  • An easy-to-access downtown office.
  • Coaching sessions with our communication and talent development expert, Ivo Večeřa.
  • An array of fringe benefits including hardware (pick the machine and tools you like), books, gym classes, language classes.
  • Free lunches in Exponea Foodie Club restaurants; fresh fruit in the office every day.
  • Travel insurance also for personal purposes.
  • Friendly atmosphere and motivated colleagues who like what they do.   

About us:

Exponea is an award winning customer experience and data management platform that not only boosts e-commerce growth with AI-powered engagement automation, but also helps improve companies’ culture with better cross-department collaboration and customer centricity. More info about Exponea.

Get a glimpse of life at Exponea and meet your future colleagues (Facebook Page Exponea Society).

Like this role? Apply here.


Drop your CV here or click to upload (docx, pdf, max. 5MB.)

SW Engineering

If you have any questions, please contact us at career@exponea.com