Data Scientist (Generative AI)

You're the right fit if:

1. Bachelor’s or master’s degree in computer science, AI, Data Science, Machine Learning, or a related field.
2. 10+ years of experience in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in generative AI.
3. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.
4. Experience working with LLMs, diffusion models, GANs, VAEs, or transformers.
5. Knowledge of natural language processing (NLP), computer vision, or multimodal AI applications.
6. Familiarity with prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback).
7. Experience in cloud-based AI solutions and working with APIs (e.g., OpenAI, Hugging Face, Stability AI).
8. Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
9. Experience with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
10. Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
11. Understanding of ethical AI and bias mitigation in generative models.
12. Strong publication record or contributions to open-source AI projects.