Description:

- Strong Data Scientist/Machine Learning/AI Engineer Profile

- Mandatory (Experience 1) - Must have 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models

- Mandatory (Experience 2) - Must have strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.

- Mandatory (Experience 3) - Must have practical hands-on experience with Neural Network / Deep Learning models (TensorFlow / PyTorch preferred)

- Mandatory (Experience 4) - Must have hands-on experience in minimum 2+ use cases out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models

- Mandatory (Experience 5) - Must have strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text

- Mandatory (Experience 6) - Must have experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments

- Mandatory (Company) - Must be from product companies