Gen AI Engineer

Generative AI Engineer

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

  .