Begin your first career as Software Engineer or Digital Systems Analyst, with the potential to grow in the career to higher roles such as Software Development Engineer (In Test), Project/ Technical Lead, Project/Technical Manager, Technical Architect, and more either at a module, subsystem, system, application, solution/product or project level.
Eligibility: Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Electrical, Electronics, Mechanical Engineering or other STEM Majors like Math & Science.
What you’ll learn:
- Manage individual project priorities, deadlines and deliverables.
- Write design documents and participate in design reviews.
- Setup environment and participate in testing/ trouble shooting existing software issues and implement as per the change management process and bug fixes.
- Optimize developed systems for performance and reliability.
- Operating System provisioning and Storage configuration
- Develop functions, scripts, stored procedures and triggers to support application development.
- Use applicable methodologies, modeling/ estimating techniques, tools, applications, systems, software and/or databases to perform assigned tasks.
Begin as a Cloud Administrator to steadily advance your career, vertically to Cloud Architect, or explore opportunities to grow to other technologies.
Eligibility: Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Electrical, Electronics, Mechanical Engineering or other STEM Majors like Math & Science.
What you’ll learn:As a Cloud Administrator Intern, you would learn and perform following responsibilities.
- Public, Private & Hybrid Cloud fundamentals and configuration.
- Managing Identity and Access permission to Cloud environment
- Cloud Network Setup via VPN or Direct Connect
- Manage cloud subscription and profiles
- Operating System provisioning and Storage configuration
- User access and roles creation and management
- Create custom scripts to automate support processes
- Manage maintenance plans, backup, restore
- Analyze information and evaluate results to choose the best solution to effectively solve problems.
- Interact cross-functionally with a wide variety of people and teams.
- Conduct end-to-end analysis from processing data, building models, and running experiments, to making recommendations and presenting results.
- Work with large, complex data sets on open ended problems using analytical methods.
- Work closely with engineers to identify opportunities for and assess improvements to Organization products.
Bachelor’s Degree in Data Science, Math, Statistics, Computer Science, Information Systems or Information Technology.
Begin as a Cloud Administrator to steadily advance your career, vertically to Cloud Architect, or explore opportunities to grow to other technologies.
Eligibility: Bachelor’s Degree in Computer Science, Information Technology, Information Systems, Electrical, Electronics, Mechanical Engineering or other STEM Majors like Math & Science.
What you’ll learn: As a Cloud Administrator Intern, you would learn and perform following responsibilities.
- Public, Private & Hybrid Cloud fundamentals and configuration.
- Managing Identity and Access permission to Cloud environment
- Cloud Network Setup via VPN or Direct Connect
- Manage cloud subscription and profiles
- Operating System provisioning and Storage configuration
- User access and roles creation and management
- Create custom scripts to automate support processes
- Manage maintenance plans, backup, restore
- Analyze information and evaluate results to choose the best solution to effectively solve problems.
- Interact cross-functionally with a wide variety of people and teams.
- Conduct end-to-end analysis from processing data, building models, and running experiments, to making recommendations and presenting results.
- Work with large, complex data sets on open ended problems using analytical methods.
- Work closely with engineers to identify opportunities for and assess improvements to Organization products.
Do you want to take part in the exciting journey of Maganti IT Training and Internship for Testing? We provide a whole career path rather than just a job.
Eligibility: Bachelor’s Degree in Math, Statistics, Computer Science, Information Systems or Information Technology.
What you’ll learn: As a Cloud Administrator Intern, you would learn and perform following responsibilities.
- Software Testing Fundamentals introduce testing concepts and emphasize their importance in the software development life cycle.
- Types of Testing include exploring functional, non-functional, and regression testing, as well as assessing manual and automated testing pros and cons.
- Testing Processes involve crafting test plans, creating test cases, executing tests, and managing and tracking testing activities.
- Testing Tools encompass popular frameworks such as Selenium, JUnit, TestNG, and Appium, with guidance on tool selection for specific projects.
- Test Automation covers script creation, framework design, and test data management, while Defect Management focuses on identifying, documenting, and prioritizing defects using tools like Jira or Bugzilla.
Are you a recent graduate or looking to start your first IT career?
Join Maganti IT Training and Internship Machine Learning Career- an opportunity to learn, develop your skills, and grow through various roles.
Eligibility: Bachelor’s Degree in Data Science, Math, Statistics, Computer Science, Information Systems or Information Technology.
Those who begin as Entry Level Data Engineers can pursue a career in Data Engineering, Data Analysis, or Data Science and eventually advance to become Technical Architects, Solution Architects, Chief Data Scientists, or to lead the entire practise.
What you’ll learn:
- Demonstrate end-to-end understanding of applications (including, but
not limited to, the machine learning solutions) being created.
- Build and maintain scalable machine learning solutions in production.
- Understanding business objectives and developing models that help to
achieve them, along with metrics to track their progress.
- Developing ML algorithms to analyze huge volumes of historical data to
make predictions.
- Running tests, performing statistical analysis, and interpreting test
results.
- Analyze large, complex datasets to extract insights and decide on the
appropriate technique.
- Research and implement best practices to improve the existing machine
learning infrastructure.
- Develop processes and tools to monitor and analyze model performance and
data accuracy.
- Provide support to engineers and product managers in implementing
machine learning.
