Job Description

Job Description Data Scientist Job Code : 13006 Experience : 5-8 Years : Hyderabad We are looking for Data Scientist with expertise in AI/ML, NLP, Deep Learning, RAG, GEN-AI. Responsibilities Responsibilities Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Transforming data science prototypes and applying appropriate algorithms and tools. Develop custom ML and non-ML models and algorithms to apply to data sets. Define the evaluation approach of models Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Coordinate with different functional teams to implement models and monitor outcomes. Keeping abreast of developments in corresponding domains Requirements Requirements Master degree from Computer science, Mathematics, Statistics and other relative disciplines Experience using statistical computer languages (Python, R, etc. ) to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc. ) and their real-world advantages/drawbacks. Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost, Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure Excellent written and verbal communication skills for coordinating across teams. Experience in code management using Git Secondary Skills Experience in Ecommerce or Advertising verticals is a plus Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV Experience on parallel computing and GPU acceleration is a plus Experience on LLM s utilization and fine tuning, GEN AI solutioning along with RAG is a must