About the role
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.