- 3 to 12 Years of prior analytics and data science experience in driving projects involving Advanced Analytics and Data Science
- Collaborate with cross-functional teams including Engineering and Business to experiment, implement and deploy complex AI and Gen AI capabilities
- Provide strategic leadership and guidance to the data science team, ensuring the successful execution of projects and initiatives.
- Strong experience in Statistical Modelling and in Machine Learning techniques like Regression, GBM, Decision Trees, Random Forest, K-Means Clustering,
- Strong exposure in NLP/Text Analytics, SVM, LSTM, Deep Learning, Neural network
- Experience in deep learning frameworks such as Tensor Flow, Keras or PyTorch
- In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case
- Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings
- Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior.
- Advanced proficiency in Python. Advanced experience in SQL/Hive will be preferred
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Power BI/Tableau (preferred)
- Proven analytical and quantitative skills with an ability to use hard data and metrics to back up assumptions, develop business cases and complete root cause analyses
- Ability to communicate effectively with diverse clients/stakeholders
- Ability to manage a team
- Master's or PhD in Computer Science, Statistics, Mathematics, or related field
- Tier I/II candidates preferred.
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