Data Scientist

Data Scientist KLA is seeking a Data Scientist/ML Engineer with expertise in NLP, statistics, and Conversational AI. This role is ideal for a professional adept at statistical modeling, machine learning algorithms, and conversational AI , with a passion for discovering solutions hidden in large datasets and collaborating with business partners to improve outcomes. Responsibilities - Build end-to-end ML systems (including traditional ML models and Conversational AI) and deploy them to operate at scale. - Research and devise innovative statistical models/ML models for data analysis. - Develop and maintain Retrieval-Augmented Generation (RAG) applications . Implement changes to algorithms to improve AI performance and retrieval techniques. - Use predictive modeling to increase and optimize customer service experience and supply chain optimization. - Identify patterns in data using statistical modeling , develop custom data models and algorithms to apply to datasets. - Work with business partners throughout the organization to find opportunities for using company data to drive solutions. - Work with project managers to establish objectives for AI systems. Skills - Strong experience using a variety of data mining/machine learning methods , using/coding algorithms, and running simulations. - 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). - Excellent understanding of machine learning techniques and algorithms such as Regression models, kNN, SVM, Naive Bayes, and Decision Trees. - Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. - Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry. Qualifications - Bachelor's degree (or equivalent) in Computer Science, Statistics, Applied Mathematics, or a related discipline. Skills: Machine Learning, Tensorflow, Pytorch, Statistical Modeling, Data Mining, Python Experience: 2.00-6.00 Years