Java Developer for Machine Learning

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Key Talents provides a various rage of services to companies and individuals focusing on recruitment, training, career advisory, QA audit, IT consultancy services, QA training delivered for individuals or client’s internal teams.

Strong Java language and ecosystem knowledge with a 4+ years experience

Spring and Hibernate / JPA

Very good command of software design patterns and architectural concepts

Ability to take on technical concepts and deliver solution for project initiatives

Microservice oriented architecture, performance and scalability concerns

Very good OOP and OOD experience;

Experience with building RESTful Web Services;

Experience with build tools and versioning systems (Jenkins, Maven, GIT, Sonar);

Experience with cloud-native environments such as Docker, Kubernetes;

Very good written and verbal English skills;

Nice to have

Product-oriented development mindset and a responsible ownership attitude towards software components

Strong understanding of systems resilience, concurrency, and scalability concerns

Full-stack development skills are appreciated, such as: JavaScript, Node.js, Angular, HTML5, CSS3 technologies

Hands-on experience with Python and scripting

Knowledge of Machine Learning technologies, working with data and ML models

Openness to take new approaches, learn new concepts and technologies

An open collaboration approach and transparent communication

Be a part of a cross-functional team responsible for building our Machine Learning Services platform that will provide ML-based products to our cloud hosting customers, internal clients and UI group Tenants

Develop platform components, services and APIs, in a cloud-native environment

Take part in all phases of development, maintenance and housekeeping of the platform

Work closely with Product Owners, Architects to define the best technical solutions that match our product vision

Collaborate with an international organization of software developers

The Machine Learning Services Development Team is a new team responsible for building the platform for ML Services products for our client. The technologies are, on one side, related to core ML services: working with models for Computer Vision, Text(NLP), audio/voice processing & predictions. Working with technologies such as TensorFlow, PyTorch, Keras, and other. On the platform side, technologies: Java, Spring Boot, REST APIs, Hibernate, SQL (PostgreSQL and MySQL) and NOSQL (Redis, MongoDB), some Python and other scripting language when needed. They deploy to cloud-native Docker / Kubernetes environments, using Helm or Terraform.

You will work together with a creative and innovative group of people that love experimenting and learning new things.