About Philips

Philips Recruitment

Job Role: Data Scientist (Generative AI)

Qualification: Bachelors / Masters Degree

Batch: Any Batch 

Salary: up to ₹10 LPA

Job Location: Bangalore

Last Date: ASAP

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Your role:
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.

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.
• 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.

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.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

Indicate if this role is an office/field/onsite role.