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InfosysEmployer profile

Data Analyst

Location not specified · Experience not specified

Experience
Experience not specified
Salary
Not disclosed
Location
Location not specified
Work mode
Not specified
Job type
Full-time
Apply by
Closing date not listed
Posted
12 Jun 9

About this role

Must have handled AI/ML integration with multiple platform.
  • Working exposure with could native solution with AWS/GCP/AZURE.
  • Working knowledge in analyzing, modelling, and training AI/ML models.
  • Have exposure in designing and proposing solutions in AI/ML.
  • Must have exposure to telemetry integration and systems. A day in the life of an Infoscion
  • Analyzing user requirements, envisioning system features and functionality.
  • Design, build, and maintain efficient, reusable, and reliable software solution by setting expectations and features priorities throughout development life cycle
  • Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development
  • Contributing to team meetings, troubleshooting development and production problems across multiple environments and operating platforms
  • Understand Architecture Requirements and ensure effective Design, Development, Validation and Support activities Good team player with exposure in managing teams and client rapport.
  • Must have exposure to cluster based hyperscalers.
  • Must have exposure in developing AI/ML models for deriving insights from Big Data systems and Data Lakes. Good to have cloud and containerization exposure Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
  • High analytical skills
  • A high degree of initiative and flexibility
  • High customer orientation
  • High quality awareness
  • Excellent verbal and written communication skills
  • Logical thinking and problem solving skills along with an ability to collaborate
  • Two or three industry domain knowledge
  • Understanding of the financial processes for various types of projects and the various pricing models available
  • Client Interfacing skills
  • Knowledge of SDLC and agile methodologies
  • Project and Team management

Skills

Information Technology
Data AnalystNot disclosed