Hexaware Fresher Off Campus Mega hiring SPGET 2025 | 15 LPA

Requirements:

• Bachelor's degree in B.E / B.Tech.
• M.E. / M.Tech / MCA not eligible.
• Eligible Streams: CSE/IT/AI/Data Science (any allied CSE departments), ECE/EEE/ETC/EIE/ISE.
• Mechanical/Civil allied branches are not eligible.
• Minimum of 75% or 7.5 CGPA in 10th, 12th, and UG.
• No active backlogs.
• Willing to relocate based on project requirements to any Hexaware location.
• Eagerness to learn new technologies as per project needs.
• Office-based work, 5 days a week.
• 3 Years of Service Agreement.

Responsibilities

Technological Innovation:

• Lead the development and implementation of cutting-edge Cloud and Generative AI solutions.
• Innovate with the latest technological concepts in full stack development to drive innovation.
• Stay ahead by exploring and integrating advancements in AI and Cloud technologies.

Problem-Solving and Analytical Thinking:

• Use analytical skills to solve complex challenges and design scalable solutions.
• Address business problems through innovative engineering practices.

Learning and Adaptability:

• Show commitment to continuous learning and development in the tech landscape.
• Adopt a growth mindset and stay adaptive to AI and Cloud trends.

Collaboration and Leadership:

• Work with cross-functional teams, providing technical guidance for success.
• Engage with clients and stakeholders to deliver customized solutions.

Project Execution:

• Manage projects from conceptualization to deployment, ensuring high-quality outcomes.
• Follow best practices in software development and AI model training.
• Design and test software solutions while maintaining high standards.

Innovative Solutions:

• Implement AI and Cloud-based solutions to solve real-world problems.
• Contribute to intellectual property and patents with innovative ideas.

Digital Transformation:

• Join a digital company focused on cloud computing and customer experience transformation.
• Promote the adoption of new technologies and processes within the organization.

Data-Driven Decision Making:

• Use data analytics to guide strategic and technological decisions.
• Apply data modeling and analysis to support solution design.