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About the role
- Programming & Foundations * Strong in Python, data structures, and algorithms. * Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. * Machine Learning * Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). * Deep Learning * Proficiency with PyTorch (preferred) or TensorFlow/Keras. * Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. * Familiarity with optimization (Adam, SGD), dropout, batch norm. * LLMs & RAG * Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). * Vector databases (Milvus, FAISS, Pinecone, ElasticSearch). * Prompt engineering, function/tool calling, JSON schema outputs. * Data & Tools * SQL fundamentals; exposure to data wrangling and pipelines. * Git/GitHub, Jupyter, basic Docker. experience10 A client of Randstad India * Programming & Foundations * Strong in Python, data structures, and algorithms. * Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. * Machine Learning * Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). * Deep Learning * Proficiency with PyTorch (preferred) or TensorFlow/Keras. * Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. * Familiarity with optimization (Adam, SGD), dropout, batch norm. * LLMs & RAG * Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). * Vector databases (Milvus, FAISS, Pinecone, ElasticSearch). * Prompt engineering, function/tool calling, JSON schema outputs. * Data & Tools * SQL fundamentals; exposure to data wrangling and pipelines. * Git/GitHub, Jupyter, basic Docker. experience10 A client of Randstad India
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