Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.
Research and devise innovative statistical models/ML models for data analysis
Develop and maintain RAG (Retrieval-Augmented Generation) 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 data sets.
Work with business partners throughout the organization to find opportunities for using company data to drive solutions.
Working with project managers to establish objectives for AI systems.
Minimum Qualifications
Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline
Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry
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,NB, Decision Trees.
Expertise/Familiaritywith one or more deep learning frameworks such as TensorFlow, PyTorch.