Data scientist with Java expertise

##### Project description

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week. Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart. Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

##### Responsibilities

• We are looking for an experienced Data Engineer with Java Development expertise and good understanding of search engines, who can help to perform migration of client platform:
• Quickly onboard to Customer's processes
• Develop new features in Java and Kotlin for Spring Boot Microservices, as well as maintain existing ones
• Improve Personalized Search
• Modernize Data Ingestion for faster searching and indexing
• Collaborate with other teams and client to find the best solutions

##### Skills

Must have

• English B2 or higher;
• Must have: Kotlin, Java Spring Boot, Gradle;
• Must have: Data Science and Machine Learning
• Must have: Semantics Search / Vector Databases , Embeddings and LLMs
• At least 5 years of work experience as a Data Scientist/ML engineer
• At least 5 years of work experience including enterprise backend system design experience
• Strong knowledge of Java/Kotlin language
• Strong knowledge of Spring/SpringBoot
• Good understanding of how search engines works (experience with Lucene based engines preferred e.g. Elasticsearch, Solr, etc.)
• Good understanding of semantics search / vector databases , embeddings and LLMs
• Experience of development in production
• Familiarity with databases (SQL/PostgreSQL)
• Deep understanding of enterprise application architecture patterns
• Experience with distributed systems
• Familiar with microservice architecture patterns
• Familiar with Containers and Orchestration Systems (Kubernetes/PKS/OpenShift)
• Adoption of Agile and DevOps culture
• Strong written and verbal communication skills
• Candidates need to provide a cover letter with following details:
• Experience of work with Search Engines
• Semantics Search / Vector Databases , Embeddings and LLMs

Nice to have

• Experience of work in distributed teams, with US customers
• Experience in working with Kafka/Rabbit and caching (Hazelcast/Redis)
• Experience in a hybrid cloud environment or willing to learn new techniques and approaches

##### Other

Languages

English: B2 Upper Intermediate

Seniority

Senior