Assist in the design, development, and testing of Java applications and components.
Write clean, maintainable, and efficient code under the guidance of senior developers.
Work with cross-functional teams to gather requirements and understand project goals.
Participate in code reviews and contribute to team discussions.
Debugging and Troubleshooting:
Identify and resolve bugs and issues in existing applications.
Conduct testing to ensure the functionality and performance of applications.
Create and maintain documentation for code, processes, and technical specifications.
Assist in preparing user manuals and training materials as needed.
Learning and Development:
Stay updated with the latest industry trends and technologies related to Java development.
Participate in training sessions, workshops, and team meetings to enhance skills.
Qualifications:
Currently pursuing a Bachelor s degree in Computer Science, Information Technology, or a related field.
Strong understanding of Java programming and object-oriented concepts.
Familiarity with web technologies (HTML, CSS, JavaScript) and frameworks (Spring, Hibernate) is a plus.
Knowledge of databases (SQL, MySQL) and version control systems (Git) is preferred.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Job Title: Junior Developer - AI & Data Science
We are seeking an enthusiastic BE Intern to join our AI & Data Science team. This internship provides an opportunity to work on cutting-edge projects in artificial intelligence, machine learning, and data analysis. The ideal candidate is passionate about data-driven solutions and eager to apply theoretical knowledge in a practical environment.
Key Responsibilities:
Assist in collecting, cleaning, and preprocessing large datasets for analysis.
Conduct exploratory data analysis to identify trends and insights.
Support the development and implementation of machine learning models.
Collaborate with the team to test and optimize algorithms for performance.
Research and Development:
Conduct literature reviews on the latest AI and data science methodologies.
Stay updated on emerging technologies and trends in the field.
Work closely with cross-functional teams to understand project requirements and deliver solutions.
Participate in team meetings, providing input and sharing ideas.
Documentation and Reporting:
Document methodologies, processes, and results for internal and external reporting.
Prepare presentations to communicate findings to stakeholders.
Engage in training sessions and workshops to enhance your skills in AI and data science.
Contribute to team knowledge sharing and collaborative projects.
Currently pursuing a Bachelor s degree in Computer Science, Data Science, Statistics, or a related field.
Strong understanding of programming languages such as Python or R.
Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, scikit-learn) is a plus.
Basic knowledge of statistics and data visualization techniques.