id: MTAwMDAwMDAxNTUyMTQ5NiA0MQ

reference: 1000000015521496

documentId: 1000000015521496

connectionPointId: 41

Názov práce:
Vývojári a analytici softvéru a aplikácií inde neuvedení

Popis práce:
Our team:

The vision of the Recommendation team is to improve the 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 of products available. We are building a recommender system platform which works out of the box using customer behavior 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 focus on the application to bring value for our clients and we are eager to try the latest research advancements.

What our team offer:

Work in a team with experienced software engineers and machine learning engineers with papers at the top ML conferences such as RecSys or IJCNN
Personal development and professional growth in the field of software engineering, cloud computing and machine learning
Gain practical knowledge working with technologies such as Python, Google Cloud Platform, BigQuery, Kubernetes and Tensorflow

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
Experience with iterative and test-driven development
Understanding of core Computer Science concepts such as data structures and algorithms
Solid experience in building RESTful APIs
Comfortable writing database queries (SQL, NoSQL)

Nice to have:
Basic knowledge of Data Mining and Machine Learning with eagerness to learn in this field
Experience with machine learning libraries, such Tensorflow or scikit-learn
Experience in designing and building infrastructure at scale


Our Tech Stack:

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

Challenges:

Data preparation and data storage for fast querying – Features extraction based on tracked behavioral data and  product catalogues
Decreasing latency of recommendations API below 50 ms.
Quality Monitoring – Online/offline evaluation metrics tracking, setup of features monitoring and monitoring of hundreds of ML models
Building a 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
Building production system for visually similar products using deep learning computer vision model, which finds similar products based on product images
Automatic anomaly detection from provided data generating insights for business stakeholders, e.g. changes in sales or conversions

numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2519

abstractJV_contact_0:
, , lenka.filova (at) exponea.com, lenka.filova (at) exponea.com Mgr. Lenka Fiľová

positionTypeCode: directhire

Meno zamestnanca: Exponea s.r.o.

employer_website: www.exponea.com

source: ISSZ