Recommender Systems developer

A Recommender Systems developer is responsible for developing and maintaining software that makes recommendations to users of a particular system, based on their past behavior. This often includes collecting and analyzing data on user behavior, building models to predict future behavior, and selecting and presenting the most relevant recommendations to each individual user.

Reduced time to market for your product

Huge savings in development costs

Improved customer satisfaction and retention due to higher quality products

Save time and money with our talented team of developers

Build your app quickly and easily

Forget about the long process of searching for a developer through hours of interviews

Recommender Systems developer

There are many reasons to hire a recommender systems developer. Some of these reasons include: - To improve the overall quality of your product recommendations. - To increase customer satisfaction with your product recommendations. - To increase sales and revenue through better product recommendations.

Yasin Baytürk

IT/Programming

Recommender Systems,

CSS,

Docker,

SOAP,

JSON,

Spring Boot,

Oracle,

Java Persistence API,

AWS,

SQL,

Hibernate,

Software Development,

Confluence,

REST,

TypeScript,

jQuery,

Java,

MSSQL,

Kubernetes,

J2EE,

rest api,

Git,

Jenkins,

Maven,

HTML,

Scrum,

Back-end,

Spring,

XML,

JavaScript,

CI/CD methodologies,

Selenium,

Angular,

MySQL,

JUnit,

HTML5,

Jira,

Linux,

Agile,

MongoDB,

Kafka

Marija Kiselova

IT/Programming

Recommender Systems,

AWS,

Java,

Microservices

Leon Hannibal

IT/Programming

Recommender Systems,

Project Management,

IT Management,

Hyper-v

Kapar Askarbekov

IT/Programming

Recommender Systems,

Angular,

Apache,

AWS,

centos,

cms,

DevOps,

Django,

Jenkins,

MongoDB,

MySQL,

Nginx,

PHP,

PostgreSQL,

Python,

ubuntu,

Zabbix,

.NET Core,

Ansible,

Bitbucket,

Debian,

ESXi,

GitLab,

Grafana,

OpenVPN,

TCP IP,

Terraform,

Windows Services,

Mikrotik,

Pfsense

Daria Golubchikova

IT/Programming

Recommender Systems,

cms,

CRM,

HTML,

marketing,

Project Management,

SAP,

Project Marketing

Sasha Mat

IT/Programming

Recommender Systems,

AWS,

JavaScript,

MySQL,

Node.js,

PHP,

TypeScript,

DynamoDB,

GraphQL

Yasin Baytürk

IT/Programming

Recommender Systems,

CSS,

Docker,

SOAP,

JSON,

Spring Boot,

Oracle,

Java Persistence API,

AWS,

SQL,

Hibernate,

Software Development,

Confluence,

REST,

TypeScript,

jQuery,

Java,

MSSQL,

Kubernetes,

J2EE,

rest api,

Git,

Jenkins,

Maven,

HTML,

Scrum,

Back-end,

Spring,

XML,

JavaScript,

CI/CD methodologies,

Selenium,

Angular,

MySQL,

JUnit,

HTML5,

Jira,

Linux,

Agile,

MongoDB,

Kafka

Marija Kiselova

IT/Programming

Recommender Systems,

AWS,

Java,

Microservices

Leon Hannibal

IT/Programming

Recommender Systems,

Project Management,

IT Management,

Hyper-v

Kapar Askarbekov

IT/Programming

Recommender Systems,

Angular,

Apache,

AWS,

centos,

cms,

DevOps,

Django,

Jenkins,

MongoDB,

MySQL,

Nginx,

PHP,

PostgreSQL,

Python,

ubuntu,

Zabbix,

.NET Core,

Ansible,

Bitbucket,

Debian,

ESXi,

GitLab,

Grafana,

OpenVPN,

TCP IP,

Terraform,

Windows Services,

Mikrotik,

Pfsense

Daria Golubchikova

IT/Programming

Recommender Systems,

cms,

CRM,

HTML,

marketing,

Project Management,

SAP,

Project Marketing

Sasha Mat

IT/Programming

Recommender Systems,

AWS,

JavaScript,

MySQL,

Node.js,

PHP,

TypeScript,

DynamoDB,

GraphQL

Yasin Baytürk

IT/Programming

Recommender Systems,

CSS,

Docker,

SOAP,

JSON,

Spring Boot,

Oracle,

Java Persistence API,

AWS,

SQL,

Hibernate,

Software Development,

Confluence,

REST,

TypeScript,

jQuery,

Java,

MSSQL,

Kubernetes,

J2EE,

rest api,

Git,

Jenkins,

Maven,

HTML,

Scrum,

Back-end,

Spring,

XML,

JavaScript,

CI/CD methodologies,

Selenium,

Angular,

MySQL,

JUnit,

HTML5,

Jira,

Linux,

Agile,

MongoDB,

Kafka

Marija Kiselova

IT/Programming

Recommender Systems,

AWS,

Java,

Microservices

Leon Hannibal

IT/Programming

Recommender Systems,

Project Management,

IT Management,

Hyper-v

Kapar Askarbekov

IT/Programming

Recommender Systems,

Angular,

Apache,

AWS,

centos,

cms,

DevOps,

Django,

Jenkins,

MongoDB,

MySQL,

Nginx,

PHP,

PostgreSQL,

Python,

ubuntu,

Zabbix,

.NET Core,

Ansible,

Bitbucket,

Debian,

ESXi,

GitLab,

Grafana,

OpenVPN,

TCP IP,

Terraform,

Windows Services,

Mikrotik,

Pfsense

Daria Golubchikova

IT/Programming

Recommender Systems,

cms,

CRM,

HTML,

marketing,

Project Management,

SAP,

Project Marketing

There are many advantages of hiring a recommender systems developer. One advantage is that they can help you create a system that can automatically recommend items to your users based on their past behavior. This can be extremely useful for e-commerce sites, as it can help increase sales and conversion rates. Another advantage is that recommender systems developers can help you create a system that is highly personalized and customized to your specific user base. This can result in a better user experience, as users will feel like the recommendations they receive are more relevant to them. Finally, recommender systems developers generally have a lot of experience working with data and algorithms, so they can help you optimize your system for performance and accuracy.

Only the best and the most experienced IT professionals

Selection process is free of charge

Reduced operating costs

Each professional has been selected for the highest level of expertise

No workplace expenses

Free replacement of the specialist at the request of the customer

Professional's specific field of expertise