Data Scientist - Generative AI

Job Description

We are seeking a highly skilled Data Scientist with Generative AI expertise to join our team. In this role, you will develop, fine-tune, and optimize generative AI models to drive innovation across various applications, including text, image, audio, and video generation. You will collaborate with cross-functional teams, including machine learning engineers, software developers, and product managers, to create cutting-edge AI solutions.

Key Responsibilities

Must Have

• Proficient in Python
• Understanding of the Pytorch and TensorFlow frameworks
• Understanding the NLP techniques and text processing tools such as NLTK, Gensim etc.
• Proficient with LLM models from HuggingFace for different text processing tasks
• Proficient with data handling capabilities and querying from SQL/No-SQL databases
• Understanding of the vision problems that can be solved using generative AI models

Good to Have

• Experience with prompt engineering techniques and leverage best practices with LLM technology
• Develop and Optimize Generative AI Models – Design, train, and fine-tune models such as GPT, Stable Diffusion, StyleGAN, and LLaMA for real-world applications.
• Data Preparation & Engineering – Gather, clean, and preprocess large-scale datasets for training and evaluation of generative models.
• Experimentation & Model Evaluation – Conduct A/B testing and assess model performance using quantitative metrics (e.g., FID, BLEU, perplexity, ROUGE etc.).
• Research & Innovation – Stay updated with the latest advancements in generative AI, deep learning, and large language models (LLMs).
• Deployment & Scaling – Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and Hugging Face.
• Collaboration & Communication – Work closely with cross-functional teams to integrate AI solutions into business processes and applications.

Minimum Qualifications:

• Bachelor’s or master’s degree in computer science, AI, Data Science, Machine Learning, or a related field.
• 3+ years of experience in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in generative AI.
• 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.
• Strong publication record or contributions to open-source AI projects.

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How we work together

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.

this role is an office role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

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If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here

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About Us

At Philips, we believe that every human matters. As a global health-tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life.

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 and Personal Health.

Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.

It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law. As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism.

To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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