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Good experience in building REST APIs/GraphQL and/or interfaces using Python frameworks such as FastAPI, Flask, Django, etc.
Experience building LLM applications using LLMOps tools such as Langchain and LlamaIndex, or NLP-related toolchains (SpaCy, HuggingFace, NLTK, etc.)
Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Spacy and Scipy is required.
Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker
Experience building scalable data models and performing complex relational database queries using SQL (MySQL, PostgreSQL), etc.
Knowledge of Machine learning models and techniques like LLM, NLP, BERT, Transformers, and Deep learning.
Experience working with/training/hosting LLMs and LLMOps tools.
Experience in at least one cloud platform (AWS, GCP, or Azure).
Solid foundation in data structures, algorithms, distributed systems, and design patterns.
Strong understanding of software engineering best practices, including unit testing, code reviews, design documentation, debugging, troubleshooting, and agile development