Job Details

 

Staff Engineer- Data Science and Machine Learning

  • 12 - 18 years
  • Bengaluru/Bangalore
Industry :
IT-Software / Software Services
Functional Area :
IT Software - Application Programme, Maintenance
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Quote job ref: 215214

Job Description

Position Summary – Staff Engineering ML & Data Science
Experience-15years
Location-Bangalore

For the opportunity of Staff Engineering Manager, you will lead a talented team of data engineers, data scientists, large-scale systems engineers and full stack engineers to build the platforms that power Ads Business at a scale that very few platforms across the world handle. (1.5 million Requests per second and processing 100 TB of data a day)


Role and Responsibilities

  • Responsible for overall software development lifecycle
  • Strong in ML and data science, analytics
  • Collaborate with product managers and stakeholders to build roadmap for the team
  • Management and execution against project plans
  • Manage day to day activities of the Engineering team in Agile environment
  • Hiring and retaining a world class team
  • Work closely with engineers to architect and develop the best technical design considering various design choices
  • Report on status of development, quality, operations and performance to stakeholders
  • Contribute to identifying and achieving breakthrough innovations in the areas of consumer experience

    Skills and Qualifications
  • Bachelors in CS
  • 15+ years’ experience in SaaS or cloud based companies (consumer facing at scale)
  • At least 5 years managing software development teams including hands-on architectural or distributed systems experience
  • Experience in design, data structures. and algorithms
  • Experience in building large scale distributed systems
  • Experience in building large scale data pipelines
  • Familiarity with multiple programming languages and platforms (Java, Scala, Go)

Ad-Tech Domain experience is a plus 

Key Skills
4 plus in ML/Data science. Strong in Academics Hands on in ML and AI technology and expertised on data science
data analytics
Education
  • B.Tech/B.E.
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