Description

Key Requirements:
7+ years of experience in machine learning implementation
Strong knowledge of ML algorithms: Decision Trees, Random Forest, XGBoost, etc.
Expertise in structured data modeling and statistical techniques (EDA, hypothesis testing)
Experience developing Python REST APIs using Flask or FastAPI
Solid understanding of MLOps architecture and components (CI/CD, monitoring, model registry)
Familiarity with LLM concepts such as RAG, prompting, few-shot prompting, and SFT
Proficient with ML frameworks: Scikit-learn, PyTorch, TensorFlow, Keras

Key Skills
Education

Any Graduate

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