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ML Ops Solution Architect

10.00 to 12.00 Years   Bangalore   02 Nov, 2020
DXC Technology
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software,Architecture
EmploymentTypeFull-time

Job Description

Essential Job Functions

  • Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools.
  • Excellent problem solving, Critical and Analytical thinking skills
  • Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Databricks, Spark Strong t-SQL experience in Azure SQL DW
  • Expertise in handling Structured and unstructured datasets
  • Expertise in Data Modeling and Advanced SQL techniques
  • Expertise in implementing Azure Data Factory Pipelines using latest technologies and techniques
  • Influences a clients strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems
Basic Qualifications
  • Bachelor s degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology, or Data Analysis Masters degree in related field preferred.
  • Typically 10+ years of relevant experience in the area of statistics/analytics/machine learning
  • Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining
Other Qualifications
  • Extensive understanding of analytics programming languages (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures
  • Extensive machine learning techniques & mathematical modeling skills
  • good knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3)
  • Guides and assigns work of others & manages large scale projects with teams ranging from 3-5 data scientists
  • influence senior stakeholders on leveraging & adopting analytics towaards art of the possible
  • Willing to work in a matrix environment
  • Good creative thinking, problem solving, planning, time-management, project management and organization skills to balance and prioritize work
  • Ability to handle multiple tasks simultaneously and switch between tasks quickly
  • Willingness to travel
Work Environment
  • Office environment
  • May require shift or weekend work- shift is unlikely, but weekend work is sometimes the norm
,

Keyskills :
javadeliverycustomer relationssalesenvironmentbig datadata sciencedata analysiscluster analysiscommercial modelssequence analysisproject managementdata modelingmachine learning

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