Philips
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Bengaluru · On-site · 10-13 Yrs · Aug 20
Health Care Products Manufacturing · 10000+ Employees · Amsterdam, Netherlands
For more than 130 years, we have been creating technologies and innovations that improve people's lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on: · Precision Diagnosis · Image Guided Therapy · Enterprise Informatics · Monitoring/ Connected Care · Sleep & Respiratory Care · Personal Health Learn more about our healthcare business: https://www.philips.com/a-w/about.html Discover our rich and exciting history: https://www.philips.com/a-w/about/our-history.html
Hiring: Engineering, Data Science
What employees say
+ Job security is good as this is a Dutch Company
− Lots of management layers as this follows traditional hierarchy
More reviews on the company profile.
Interview experience · Software Development Engineer (SDE)
I applied and get HR call for the interview that was the online screening round interview. And basic question about the work experience tech skill and personal details. Education, what projects you have done, how many ye
Difficult difficulty · Bangalore Rural · 545 reports
More interview insightsJob description
Overview
You're the right fit if: Bachelor’s or master’s degree in computer science, AI, Data Science, Machine Learning, or a related field. 10+ years of experience in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in generative AI.
Responsibilities
- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.
- Experience working with LLMs, diffusion models, GANs, VAEs, or transformers.
- Knowledge of natural language processing (NLP), computer vision, or multimodal AI applications.
- Familiarity with prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback).
- Experience in cloud-based AI solutions and working with APIs (e.g., OpenAI, Hugging Face, Stability AI).
- Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
- Experience with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
- Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Understanding of ethical AI and bias mitigation in generative models.
Qualifications
- Bachelor’s or master’s degree in computer science, AI, Data Science, Machine Learning, or a related field.
- 10+ years of experience in machine learning, deep learning, or AI research.
- At least 1 year of hands-on experience in generative AI.
Nice to have
- Strong publication record
- Contributions to open-source AI projects
Education
- Bachelor’s or higher degree in relevant field required
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