AI Application Developer
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Machine Learning & Model DevelopmentStrong understanding of supervised and unsupervised learning techniques. Familiarity with evaluation metrics and model validation techniques.Data Engineering & Feature EngineeringHands on experience with data preprocessing, cleaning, and exploratory data analysis. Experience using Python libraries such as Pandas and NumPy, along with SQL.Generative AI / LLM Based Application DevelopmentExperience building applications using Large Language Models (LLMs). Experience integrating LLM APIs into enterprise applications.AI System Design, Deployment & MLOpsAbility to design scalable AI architectures for training and inference. Experience deploying models as APIs or services (e.g., using FastAPI or Flask).