Job Description

:

1. Job Summary: Machine Learning Workload Migration to AWS Services. Associate Data Scientist Post-grad in one of the following fields with strong academic credentials viz. Computer Science/IT, Operations Research/Applied Math, Engineering, Statistics

2. Experience: 4 to 8yrs.

3. Required Skills:

\xc2\xb7 Technical Skills: Oracle Big Data, AWS, AWS Sage maker

\xc2\xb7 Domain Skills: Banking and Financial Services

4. Nice to have skills: Core Banking, Wealth and Private Banking, Mutual Fund/Security Accounting, Financial Reporting, Oracle Data Management

5. Shift: Day Shift

6. Roles & Responsibilities:

\xc2\xb7 Build advanced analytics models and solutions for our clients to improve various business outcomes.

\xc2\xb7 Works with the business team to identify the right business objective and data required to answer the same. Analyzes data and generates insights that can articulated to business stakeholders.

\xc2\xb7 Advises and assists AWS and Customer with the following activities in relation to the migration of workloads to Customer\xe2\x80\x99s new environment

\xc2\xa7 Migrate Workloads and provide knowledge transfer following the migration activities

\xc2\xa7 Migrate machine learning models and its associated code artefacts from Customer\xe2\x80\x99s application to a non-production AWS platform

\xc2\xa7 Migrate business intelligence reports or dashboards associated with the ML models from Customer\xe2\x80\x99s application to a non-production AWS platform

\xc2\xa7 Migrate historical sample anonymized data from Customer\xe2\x80\x99s application to a non-production AWS platform

\xc2\xa7 Migrate associated extraction and loading scripts related to the ML models, including source objects and target objects provided by Customer

\xc2\xa7 Migrate tables or files used by the ML models from Customer\xe2\x80\x99s application to a non-production AWS platform

\xc2\xa7 Migrate store procedures or views used by the ML models from Customer\xe2\x80\x99s application to a non-production AWS platform

\xc2\xb7 Is part of a team that successfully develops complex algorithms and brings cutting edge innovation IN ORDER TO elevate Cognizant ability to create value for clients in areas and through means not immediately apparent to clients Business

\xc2\xb7 Develops POCs that can be used to generate business decisions Simulates several scenarios through an interactive visualization that deepens the business understanding with underlying trends and root causes

\xc2\xb7 Executes a data collection plan from both structured and unstructured sources that helps in data exploration, hypothesis testing and statistical modeling

\xc2\xb7 Stakeholder Management:

\xc2\xa7 Communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights.

\xc2\xa7 Coordinates in communicating the data needs with both technology and business teams to ensure that right data is captured for analysis and modeling.

7. Certification(s) Required:

\xc2\xb7 Either one of AWS Machine Learning specialty or AWS Data & Analytics Specialty certifications if possible (but importantly, need to have experience with the above specified tasks due to the specific nature of the work)

\xc2\xb7 Having experience with ML Ops on AWS is a plus but not a strict requirement.

#LI-CTSAPAC

Employee Status : Full Time Employee

Shift : Day Job

Job Posting : Sep 28 2023

About Cognizant Cognizant (Nasdaq-100: CTSH) is one of the world\'s leading professional services companies, transforming clients\' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us

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