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Responsibilities

• Building LLM-Powered Applications with LangChain

Required Knowledge

• Good knowledge on the fundamentals of Language Models (LLMs) and their significance in building intelligent applications.
• Hands-on experience with in-context learning, domain-specific model fine-tuning, and prompt engineering.
• Experience in integration of LangChain into application development workflows and utilize its APIs
• Insights on what can be done with Langchain
• Interact with various LLMs using Langchain
• Create a conversational chatbot using LLM
• Finetuning LLM with langchain

Experience

• Python
• Experience with tools and frameworks popular in the LLM and NLP communities, such as LangChain, LlamaIndex, PyTorch, and TensorFlow
• Familiarity with Linux operating systems and containerization technologies like Docker and Kubernetes.

Responsibilities

• Educational Background: Master’s in Computer Science, Data Science, or a related field.
• Programming Skills: Proficiency in statistical programming languages such as R and Python, as well as database query languages like SQL.
• Statistical Expertise: Solid understanding of applied statistics, including but not limited to statistical tests, distributions, regression analysis, and maximum likelihood estimators.
• Machine Learning: Strong grasp of machine learning algorithms including k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, and Neural Networks.