Description:
4 years of experience in Machine Learning implementations Experience in Structured Data Modelling, NLP, and Time Series Modelling Good understanding of LLM concepts including RAG, Prompting, Few-Shot Prompting, and SFT Strong understanding of MLOps architectures and components Solid grasp of Problem Solving and Statistical Concepts Hands-on experience with ML Frameworks: Scikit-Learn, PyTorch, TensorFlow, Keras, RASA, LangChain Exposure to Cloud and DevOps tools: Git, CI/CD, Docker, Kubernetes,
Nov 6, 2025;
from:
dice.com