Job Description

JD:

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in implementing and customizing AI research papers (e.g., from arXiv, NeurIPS, ICML).
• Hands-on experience with Large Language Models (LLMs): GPT, LLaMA, Mistral, Falcon.
• Experience with Vision Models: ViT, SAM, CLIP.
• Experience with Generative Models: Stable Diffusion, DALL E, GANs.
• Experience with Multimodal Systems combining vision, language, and audio.
• Proficiency in Python, PyTorch, TensorFlow, JAX.
• Experience with Hugging Face Transformers, Diffusers, OpenAI Gym.
• Experience with Weights & Biases, MLflow, TensorBoard.
• Experience with Distributed training: DeepSpeed, FSDP, Horovod.
• Knowledge of Model optimization: quantization, pruning, distillation.
• Experience with Data tools: DVC, Apache Arrow, Label Studio.
• Strong understanding of evaluation metrics, benchmarking, and reproducibility

Skills Required