Data Scientist
Description
Requirements:
- 3-5 years of strong hands-on experience in developing, training, and evaluating ML models.
- Solid grounding in Deep Learning and Machine Learning.
- Strong command of statistical modelling and predictive analytics.
- Proficiency in Python and ML frameworks (PyTorch / TensorFlow, scikit-learn).
- Good understanding of model evaluation, metrics, and experimentation.
- Ability to work independently and communicate findings clearly.
Good to Have:
- Experience with NLP, Computer Vision, or Time-series forecasting.
- Research publications or strong academic projects in ML.
- Experience with MLOps, model deployment, or large-scale data (SQL, Spark).