<p>Job Description :</p><p><br/></p><p>- Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale.<br/><br/>- Research and devise innovative statistical models/ML models for data analysis<br/><br/>- Develop and maintain RAG (Retrieval-Augmented Generation) applications.
Implement changes to algorithms to improve AI performance and retrieval techniques.<br/><br/>- Use predictive modeling to increase and optimize customer service experience and supply chain optimization.<br/><br/>- Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets.<br/><br/>- Work with business partners throughout the organization to find opportunities for using company data to drive solutions.<br/><br/>- Working with project managers to establish objectives for AI systems.<br/><br/>Skills and Qualifications :<br/><br/>- Bachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline<br/><br/>- Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry<br/><br/>- 4+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn).<br/><br/>- Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees.<br/><br/>- Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch.<br/><br/>- Min 4+ years of experience in Python & Machine learning, SQL, Azure, NLP Artificial intelligence (TensorFlow, Conversational AI is good to have)<br/><br/>Education :</p><p><br/></p><p>- Tier -1 colleges like (IIT, IIIT, VIT, NIT)<br/><br/>- Either tier one college or should be from product companies.<br/><br/>NP : 45-90days</p> (ref:hirist.tech)