Responsibilities for Data Scientist/ML Engineer:
- 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.
Skills and 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
- 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, SVM,NB, Decision Trees.
- Expertise/Familiaritywith one or more deep learning frameworks such as TensorFlow, PyTorch.