Master's or bachelor's degree in computer science or a related study or equivalent experience.
6+ years of hands-on experience architecting and designing highly scalable and resilient systems.
Experience in designing & scaling applications based on Data Science, NLP, and conversational AI
Understanding of ML algorithms - classical and deep learning and ML frameworks
Good understanding of system availability, security, and performance management.
Hand-s on work experience in: PyTorch and its ecosystem of libraries, Word and document embeddings, Transformers and Attention, RNN, LSTM, A background in BERT and its variants, transfer-learning practices, NLP Libraries: NLTK, Genism , Spacy, ML-pipelines – Apache Airflow/ Kubeflow/ RAY, OpenAI libraries and Models – LLMs, scikit-learn, Pandas, Numpy , plotting using matplotlib, seaborn, HuggingFace.