Al/GENAI Engineer

Al engineers require a blend of strong programming proficiency (especially Python), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and deploy models. Key skills include mastering Generative Al, Large Language Models (LLMs) via prompt engineering and fine tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics.

Core Technical Skills

Programming: High proficiency in Python is mandatory, along with 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 Al & LLMs: Techniques for prompt engineering, Retrieval Augmented Generation (RAG), and model fine tuning.