Role & responsibilities:
- Strong hands-on experience in Python and ML libraries (Scikit-learn, NumPy, Pandas).
- Experience with one or more deep learning frameworks (TensorFlow, Keras, PyTorch).
- Solid understanding of Machine Learning,Deep Learning, NLP techniques, Transformer-based models (e.g., BERT, Whisper), time-series analysis, intent analysis, Speech Part.
- Strong knowledge of statistics, data structures, and algorithms.
- Experience with ML model deployment (Flask/FastAPI, Docker, CI/CD pipelines).
- Experience working with Finetuning (LoRA,QLoRA) and quantization is a plus.
- Good communication and problem-solving skills.
Only Male candidates