Job Location: India

Duties/Responsibilities:

• Must have 6 years of experience in applying a Quantitative discipline (Statistics, Operations Research, Machine Learning, Mathematics, Econometrics, etc.) to build machine learning based solutions
• Minimum 6 years of experience Designing, building and implementing stable, high quality , high performance applications using Python
• Minimum 6 years of experience in Analysis , Design and Coding in a lifecycle environment
• Minimum 5 years of experience using Python and/or R
• Minimum 6 years of experience working with different database (SQL, Server, Teradata, Oracle, etc) using SQL queries and complex SQL procedures to transform and prepare data for analytical purposes
• Minimum 6 years of experience working with large data-sets/big data, modeling and statistics
• Minimum 2 years of experience in Azure design and development of functions, storage, Azure SQL, Event hub, Service bus, Cosmsbd, databricks, etc
• Posses in-depth understanding of the mathematical concepts and techniques used for machine learning like linear algebra, statistics, probability theory, optimization.

Bachelor s degree in Computer Science or related analytical field or equivalent experience, preferrRequired Skills/Abilities:

• Excellent verbal and written communication skills.
• Excellent interpersonal skills.
• Thorough understanding of technology, technical roles and technical skills.
• Thorough understanding of recruiting methods and best practices.
• Proficient with Microsoft Office Suite & Application Tracking System.

Education and Experience:

• Experience with operations research and optimization models
• Experience with NLP techniques, preferred
• Experience with one or more deep learning frameworks like Tensorflow, Keras or Pytorch
• 6+ years of experience in a Lead Developer position is preferred

Additional areas of knowledge/expertise:

• Azure
• Service Oriented Architecture (SOA)
• Windows Communication Foundation (WCF)
• Web Services
• HTML/DHTML
• Java Script
• Query
• Power Shell

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