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Manager Machine Learning Engineer Headoffice

4.00 to 7.00 Years   Mumbai City   25 Feb, 2020
CEAT VENTURES LIMITED
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryNBFC ( Non Banking Financial Services )
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

  • An important team member in digitization journey. The role manages multiple projects under the digitalization umbrella. Creation of analytical models using ML/DL/AI, data transformations, visualization & statistics.
  • Use Case Delivery
  • Adoption of analytical output
  • Improvement in sales and margin
  • Timely Delivery of products
  • Timely compliance and documentation
  • Business feedback
KEY ACTIVITIES & RESPONSIBILITIES
  • Data analysis of structured and unstructured data from problem statement to model deployment & business impact perspective using ML/DL/AI
  • Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis
  • Practical knowledge of statistical packages like - R, Python Apache Open Source technologies, etc
  • Experience with Machine & Deep Learning algorithm
  • Experience of working with applications like SAP Hana, BW4HANA, Salesforce from an integration perspective
  • Understanding of OLAP databases like BW4HANA
  • Experience working with relational & no-sql databases
  • Understanding & implementation experience of ETL/ELT
  • Data cleansing and standardization i.e. duplicates, garbage sanitization etc.
  • Data manipulation/transformation to uncover trends and insights i.e. subsetting, pivoting, summarisation, sorting etc.
  • Creating data visualisations to effectively convey findings
  • Exporting data to external sources through reports or spreadsheets or through API
  • Extending company s data with third party sources of information when needed
  • Data quality to support sound business decisions and effective engineering
  • Programming skills using R, Python, Octave, Matlab or Apache suite of products for Big Data Analysis
  • Quantitative analysis: Statistical modeling using algorithm and ability to clean/mask data
  • Visualization: Tableau, Qlik, HTML, D3.js, javascript, Superset, Metabase, leaflet
  • Strong Communication skills with ability to tell stories using data
  • Should be well versed with the upcoming technology
Education and Experience RequiredEducation:MBA/B.E/M.Tech/B.Tech/M.Tech/MSExperience:4-7 years, preferably with Marketing, Sales & Service Analytics which include temporal data analysis, text/NLP analysis, regression & classification,

Keyskills :
big datasap hana mail sortingdata analysis deep learningmachine learning communication skillsstatistical modeling

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