Design develop and train ML/DL models for classification regression and generative tasks.
Work with LLMs and GenAI tools such as GPT BERT Stable Diffusion or DALL E.
Fine-tune pretrained models on custom datasets for NLP CV or audio tasks. Perform data
wrangling preprocessing and augmentation for model readiness. Assist in building pipelines
for training evaluation and deployment of models. Stay updated on the latest AI/ML/GenAI
research and tools.
Collaborate with research and product teams to integrate intelligent features into
applications.
Requirements
Solid knowledge of Python and ML frameworks (e.g. Scikit-learn TensorFlow PyTorch).
Understanding of ML concepts: supervised/unsupervised learning overfitting bias/variance
etc. Exposure to NLP or Computer Vision techniques.
Familiarity with transformer models (e.g. GPT BERT) and prompt engineering. Experience
using Hugging Face Transformers OpenAI API or similar GenAI libraries. Basic knowledge of
model evaluation (accuracy precision recall F1-score).
Good communication and teamwork skills.
Design, develop, and train ML/DL models for classification, regression, and generative tasks. Work with LLMs and GenAI tools such as GPT, BERT, Stable Diffusion, or DALL E.
Education
Bachelor or Masters degree in Computer Science, Software Engineering, or a related field.