SAP Off Campus Drive 2022 | Associate Developer | BE/B.Tech | Apply

Introduction –

SAP Off Campus Drive 2022

SAP Off Campus Drive 2022

  • SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.

  • As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.

  • SAP Off Campus Drive 2022 is hiring Associate Developer for the location of Bangalore India. The eligible candidates can check out the details and apply from the given below link.

Position Associate Developer

Vacancy Details

Vacancy Details

Company Name SAP
Experience 0-3 Years
Eligibility BE/BTech/M.Tech
Job location Bangalore
Job Type Full Time
Job ID 311467
Salary- CTC Not Disclosed

Job Responsibilities for SAP Off Campus Drive 2022

  • Be designing innovative machine learning models to the underlying business problems needing the domain.
  • source early technologies and methodologies through applied research partnerships and help to translate new concepts and ideas into assessable and feasible machine learning models and prototypes that matter.
  • participate in cutting edge research in artificial intelligence and machine learning applications.
  • work with universities, research institutions, industry and Line of Business to identify and solve research problems.

Qualification & Skills for SAP Off Campus Drive 2022

  • BE/ B.Tech/ M.Tech in Computer Science, Artificial Intelligence, Machine Learning or related technical field.
  • Good understanding ML model deployment and model lifecycle management
  • Knowledge of cutting edge research in artificial intelligence and machine learning applications.
  • A solid foundation in computer science, with strong competencies in algorithms, data structures, objects oriented programming, design patterns, multi-threaded programming, and software design principles
  • Deep knowledge of probability, statistics and algorithms
  • Proficient in ML and deep learning frameworks such as Scikit-learn, TensorFlow etc.
  • Ability to write robust code in Python, Java and R.

Selection Process

  • Application screening
  • Technical Interview
  • HR Interview


  • No fees


  • Starting Date of Apply – 03/02/2022
  • Late Date – N/A
  • Exam Date – Will be notified

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