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.