• Us Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 17th Dec 2020

Requirements:

Master's or PHD in Statistics, Mathematics, Computer Science, predictive analytics or another quantitative field 

experience must include:

Strong hands-on experience with Python, building NLU/NLP machine learning models. Experience with SpaCy and OpenCV libraries and ability to coach junior developers in this area.

Develop and provide technical leadership in the development of scalable micro-services in Python using Flask or other frameworks.

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, neural networks, deep learning social network analysis, etc.

Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Basic understanding of DevOps / CICD frameworks for container deployments (Docker / Kubernetes)

Knowledge of NoSQL MongoDB

Knowledge of Amazon Services: S3, SQS, SNS, Lambda, RDS, DynamoDB

Excellent written and verbal communication skills for coordinating across teams.

A drive to learn and master new technologies and techniques.