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) & Natural Language Generation (NLG). 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 Gen-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.
Qualifications
- 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 experience in at least one of the following languages: Python, R
- 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
- 1+ years of experience in developing LLM solutions for Enterprise
- Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem
Excellent problem solving, communication, and data presentation skills