Qualifications

• Experience:

  • Proven track record of implementing AI/ML projects, including model development, evaluation, and deployment.

  • Hands-on experience in NLP (Natural Language Processing) model training, fine-tuning, and deployment.

  • Expertise in Generative AI technologies, including building and deploying state-of-the-art models like GPT, DALL-E, or similar frameworks.

• Technical Skills:

  • Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Hugging Face, or OpenAI APIs.

  • Strong understanding of machine learning algorithms, statistical methods, and deep learning architectures.

  • Knowledge of data preprocessing, feature engineering, and pipeline automation.

  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for deploying and scaling AI/ML solutions.