Description

Require a blend of strong programming proficiency (especially Python – expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy models.
 

Key skills include mastering Generative AI, Large Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics.

Core Technical Skills

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Programming: High proficiency in Python is mandatory, along with Node JS ,R, C++, or Java.

ML/DL Frameworks: Expertise in PyTorch or TensorFlow, plus libraries like Scikit-learn, Keras, and Hugging Face. Ollma.

Data Handling: Mastery of SQL, NoSQL, Pandas, NumPy, and preprocessing tools.

Generative AI & LLMs: Techniques for prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning

Key Skills

Education

Bachelor's degree