Job Description

- 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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