8 beste vacatures voor de functie van machine learning in kraaijenstein (nieuwe medewerkers gezocht)

Senior Java Developer
ARHS —Den Haag
- Fulltime
- Thuiswerk
- Azure
- DevOps
- Engels
Snel solliciteren
Cloud DevOps Engineer - Telecom
CGI —Rotterdam
- DevOps
- AWS
- Analytisch vermogen
- Flexibele werkuren
Snel solliciteren
Business Analytics Manager
Asea Brown Boveri S.A. —Rotterdam
- Online sollicitatie
- DevOps
- Engels
- SQL
Snel solliciteren
8 dagen
AI Data Architect
Xuntos —Den Haag
- E-mail
- Azure
- Machinaal leren
- AI
PKI-CLM Engineer (Managed Services)
Nomios —Leiden
- Fulltime
- Hybride werken
- Azure
- Engels
- Windows
Snel solliciteren
Mechanisch Engineer
WPS —De Lier
- Microsoft Office
- Communicatieve vaardigheden
Senior .NET Developer (AI first)
Scan Sys —Nootdorp
- Hybride werken
- Azure
- DevOps
- AI
- Reiskostenvergoeding
- Flexibele werkuren
Snel solliciteren
Senior AI Architect - Telecommunicatie
CGI —Rotterdam
- Hybride werken
- Informatica
- Azure
- Informatica
- Flexibele werkuren
Snel solliciteren

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Senior Java Developer

ARHS -
Den Haag

Snel solliciteren

Vacaturegegevens

Fulltime

Kwalificaties

TensorFlow
CI/CD
Elasticsearch
Azure
Kubernetes
DevOps
Microsoft SQL Server
NoSQL
Git
Engels
Java
Microservices
OOP
Docker
Neo4j
REST
Scrum
Softwareontwikkeling
APIs
Agile
ICT
Apache
Kafka
Vue.js
Communicatieve vaardigheden
Graph databases
Spring
T-SQL

Volledige vacaturetekst

Company Description

Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development.
Arηs Group was acquired by Accenture in July 2024.

Job Description

Contribute to the improvement of the development and build process
Design and develop production-grade, enterprise-level systems making extensive use of messaging and microservices
Participate in the Java implementation of a microservices solution, writing reliable, fast, scalable and secure backend code that meets requirements and service level agreements
Write OAUTH authentication mechanisms and implement validation mechanisms as unit and integration tests
Assist with deployment and configuration of the system, including setting up CI/CD pipelines, using Kubernetes and Docker
Work as part of a Scrum team, following Agile procedures and providing work estimates upon request
Write technical documentation, accounting for secure coding practices, logging and auditing features
Communicate clearly and concisely with peers and upper layers of the organisation when needed
Use Git following pull request procedures, writing clean, secure and high-quality code

Qualifications

Minimum 9 years of relevant IT professional experience in Java backend development, at least 3 of which in an Agile/Scrum environment
Minimum education level corresponding to the requested category
Minimum English language proficiency: CEFR B2
Sound knowledge of Java, with hands-on experience in Spring Boot 3 and Vert.X, and provable working experience in Vert.X solutions
Provable working experience integrating TensorFlow and TensorFlow Java bindings
Sound knowledge of REST APIs and microservices design and development, unit testing in Java, and the OAUTH standard and application design, with provable working experience
Sound knowledge of integration and messaging technologies, including Apache Camel, Apache NiFi 2.0, ActiveMQ, RabbitMQ and Kafka Streams architecture, including Enterprise Integration Patterns
Good knowledge of programming on SQL Server databases with T-SQL
Good knowledge of OOP paradigms and SOLID principles
Good knowledge of software development methodologies, in particular Agile
Strong teamwork, communication skills and ability to work effectively within a Scrum team
Nice to have: experience in an international or multi-cultural environment, knowledge of Kubernetes (image creation and optimisation, stateful containers, container and pod lifecycle, Helm Charts, probes, upgrade procedures, persistent volumes), Vue.js, Elasticsearch, Azure DevOps, NoSQL and graph databases (Neo4j), and Dapr

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machine learning vacatures in kraaijenstein

Senior Java Developer

Cloud DevOps Engineer - Telecom

Business Analytics Manager

AI Data Architect

PKI-CLM Engineer (Managed Services)

Mechanisch Engineer

Senior .NET Developer (AI first)

Senior AI Architect - Telecommunicatie

Discover related jobs

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning in kraaijenstein

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