AI/ML

Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.

2. Deep Learning Frameworks: PyTorch, spaCy, Keras

3. Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers

Experience in working with Image processing, computer vision is must 5. Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,keras etc.,.) , LangChain, Flask, FastAPI, prompt engineering. 6. Programming experience in Python 7. Strong written and verbal communications 8. Excellent interpersonal and collaboration skills