Design and build innovative and ethically responsible Agentic AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact
Job Summary
Design and build innovative and ethically responsible Agentic AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact.
Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector.
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Matching Summary
Design and build innovative and ethically responsible Agentic AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact.
Skills & Requirements
Must-have
Agentic AI solutions
Generative AI research
Machine Learning Engineering
NLP and LLM-based solutions
Python and data science libraries
Cloud computing platforms
Nice-to-have
Ethically responsible AI
Collaborative mindset
Attention to detail
Key Requirements
Master's or Ph.D. in Computer Science, Data Science, or related field
At least three years hands-on AI/ML experience
Significant experience in LLMs, Generative AI, or AI agents
Hands-on experience with LLM-based architecture
Experience building and refining model pipelines end-to-end