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
Skills and Qualifications:
Bachelors 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
4 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 SVMNB Decision Trees.
Expertise/Familiarity with one or more deep learning frameworks such as
TensorFlow PyTorch.