Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Large Language Models (LLM). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc.Proficiency in cloud platforms like GCP, including experience with deploying AI applications.

Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

• Build data-driven models to understand the characteristics of engineering systems
• Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems
• Train, tune, validate, and monitor predictive models 
• Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats
• Establish scalable, efficient, automated processes for large scale data analyses
• Package and present the findings and communicate with large cross-functional teams

• BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
• 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms
• 3+ years of experience in at least one of the following languages: Python, R
• Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and LLMs
• Excellent problem solving, communication, and data presentation skills