Data Scientist

What You'll Be Doing:
· A strong level of proficiency in python programming. 

· Must have experience in tools and frameworks like Flask,PySpark,Pytorch,tensorflow, keras, Databricks,
OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. 

· Hands on experience in Analytics/AI-ML
AWS services like Sagemaker, Canvas, Bedrock. 

· Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost,random forest, GBM, Neural Nets, SVM etc. 

· Proficient with NLP techniques like RNN,
LSTM and Attention based models and effectively handle readily available
stanford, IBM, Azure, Open AI NLP models.

· Hands on experience on any version
control tool (github, bitbucket). 

· Experience of deploying ML models into
production environment experience (MLOps) in any one of the cloud platforms
like Azure and AWS.

· Hands on experience in agile project delivery.