Data Science Level II

Job Description

Role & responsibilities - Strong knowledge in OOPs and creating custom python packages for serverless applications. Strong Knowledge in SQL querying. Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images. Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data. Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER). Strong Leadership Skills. Deployment of custom trained and prebuilt NER models using AWS Sagemaker. Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2. Should have Intellectual curiosity to learn new things. ISMS responsibilities should be followed as per company policy. Preferred candidate profile - 3+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions. 3+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining. Hands on expertise to integrate multiple data sources in a streamlined pipeline.