Artificial Intelligence / Machine Learning Engineer

AI/ML Engineer
            

The Technology Incubation Lab is dedicated to developing and validating cutting-edge solutions across health, accessibility and energy, bridging the gap between early-stage research and commercialization of Samsung products. We work on externally funded projects, leveraging collaborations with academia, industry and public sector organizations to explore next-generation technologies before they are integrated into commercial offerings.

Purpose of the Team and Role:

The core focus area of our team is three-fold; 

a)    Develop AI-powered predictive healthcare solutions, integrating real-world health data from wearables, IoT devices and medical records to enhance early disease detection and personalized health monitoring
b)    Work on AI-powered accessibility solutions that improve digital and physical accessibility for individuals with disabilities, particularly in vision and cognitive support
c)    Focus on AI-driven energy management systems advancing sustainability and intelligent energy solutions  for homes and businesses 

Role and Responsibilities

•    Develop and optimize machine learning models for disease prediction and early diagnosis
•    Process and analyze structured and unstructured health data – Implement deep learning for predictive healthcare applications
•    Contribute to the research on AI-driven user personalization for visually impaired individuals
•    Develop AI-powered accessibility solutions for Samsung products
•    Ensure compliance with data privacy and ethical AI guidelines

Essential Skills and Qualifications
•    Machine learning & deep learning – Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn
•    Strong skills in Python, experience with R or JavaScript is a plus
•    Experience with Health data processing – HER, FHIR, Wearable sensor data
•    Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools
•    Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
•    Comprehensive knowledge of RAG and GraphRag systems and architecture
•    Experience building ontologies in the e-commerce and semantic search spaces
•    Knowledge Graph and RAG -AI Architecture

Desirable skills
•    Experience with OCR, Image captioning, object detection for assistive technologies
•    Understanding of ARIA, WCAG, screen readers (JAWS, NVDA, VoiceOver)
•    Experience working in Horizon Europe, Digital Europe or other EU-funded research projects
•    Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA)
•    Experience in multi-modal AI (text, image, audio) for accessibility applications
•    Knowledge of Reinforcement Learning or Federated learning for decentralised AI solutions
•    Familiarity with cloud platforms (AWS, GCP, Azure)

Soft skills:
•    Ability to work in interdisciplinary, international research teams
•    Clear documentation and reporting skills for EU project deliverables
•    Passion for AI applications in healthcare, energy and digital inclusion
•    Self-learner, independent contributor, proposal writing.