12 дней назад
Engineer, Digital Measurement Platform & Applications (Fullstack) (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer, Digital Measurement Platform & Applications (Fullstack) (AI/ML): Building production-grade applications, APIs, backend services, integrations, and data workflows for digital measurement, healthcare, and AI/ML-enabled products with an accent on scalability, reliability, and cloud-native engineering. Focus on integrating machine learning and analytics capabilities, validating solutions for production deployment, and collaborating across engineering, data science, product, and architecture teams.
Location: Athens, Greece
Company
Provides clinical research services, commercial insights, and healthcare intelligence for life sciences and healthcare organizations, using technology to support medical treatment development and improve patient outcomes.
What you will do
- Design, develop, test, deploy, and maintain applications, APIs, backend services, integrations, and data workflows.
- Build platform capabilities supporting digital measurement, healthcare, analytics, and AI/ML-enabled products.
- Develop cloud-native solutions and integrate applications with machine learning models, data processing, and analytics services.
- Improve the performance, reliability, usability, scalability, and maintainability of applications and services.
- Validate applications, integrations, and product capabilities for production deployment.
- Collaborate with software engineers, data engineers, machine learning engineers, architects, product teams, and data scientists.
Requirements
- Bachelor’s or master’s degree in computer science, software engineering, computer engineering, information systems, artificial intelligence, or a related field.
- 5+ years of experience designing, building, and supporting software applications, backend services, APIs, integrations, or data-driven solutions.
- Programming experience with Python, JavaScript, Java, C++, or an equivalent language.
- Experience with modern web application frameworks such as React or Angular.
- Experience working with real-world datasets, AI/ML-enabled services, software testing, version control, CI/CD, and engineering best practices.
- Experience collaborating across engineering, product, data science, and architecture teams.
Culture & Benefits
- Work in a cross-functional environment with engineering, data science, product, and architecture specialists.
- Contribute to healthcare and life sciences products focused on digital measurement, analytics, and machine learning.
- Apply new technologies and engineering concepts to large-scale production solutions.
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