Job Title

Job Description: We are hiring a Generative AI Engineer to join our team working on AI applications involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) .  Roles and Responsibilities: Fine-tune and optimize LLMs for tasks such as summarization, classification, Q&A, and creative generation. Work with Vision-Language Models (e.g., BLIP, MiniGPT, Kosmos) for tasks like image captioning, visual question answering, and retrieval. Contribute to training and evaluating Computer Vision models for tasks like image generation, detection, or editing. Implement and test various prompt engineering and LoRA-based fine-tuning approaches for different tasks. Preprocess and manage multi-modal datasets (images + text), and create training/evaluation pipelines. Write clean, modular, and well-documented code for training, inference, and deployment. Collaborate with backend, product, and design teams to integrate models into real-world applications. Stay updated with the latest papers and open-source projects in the Generative AI space. Requirements: Bachelor's degree in Computer Science, Artificial Intelligence, or related field. 2–3 years of experience in machine learning or deep learning, preferably in NLP or computer vision domains. Proficiency in Python , PyTorch , and libraries such as Transformers (Hugging Face) , OpenCV , or TorchVision . Hands-on experience with LLMs (e.g., GPT, BERT, LLaMA) or CV models (e.g., CLIP, Stable Diffusion). Familiarity with transformers , attention mechanisms , tokenization , and embedding techniques . Comfortable working with datasets , training loops , and evaluation metrics .