job description
Are you a passionate Computer Science, Data Science, Artificial Intelligence, or Software Engineering student eager to kickstart your career in a dynamic, innovation-driven environment? National Instruments is offering an exciting AI and Data Engineering Internship in the vibrant setting of Bali, Indonesia.
This internship provides a unique opportunity to work alongside industry experts on cutting-edge projects in machine learning, data pipelines, and AI-driven solutions. Youâll gain hands-on experience in designing, developing, and optimizing data systems while contributing to real-world applications that drive technological advancement.
As part of our team, youâll collaborate with cross-functional groups, leverage the latest tools and frameworks, and develop skills that will set the foundation for your future in AI and data engineering. Whether youâre building scalable data architectures or fine-tuning algorithms, your work will have a tangible impact.
Join us in Baliâa hub of creativity and innovationâand take the first step toward a rewarding career in technology.
Responsibility
- Assist in designing, developing, and maintaining scalable data pipelines and ETL processes.
- Collaborate with senior engineers to implement machine learning models and AI-driven solutions.
- Optimize data storage and retrieval systems for performance and efficiency.
- Participate in data cleaning, preprocessing, and feature engineering tasks.
- Contribute to the development of real-time data processing and analytics frameworks.
- Document technical processes, workflows, and system architectures.
- Troubleshoot and debug data-related issues to ensure system reliability.
- Stay updated with emerging trends in AI, data science, and cloud technologies.
Qualifications
- Currently enrolled in a Bachelorâs or Masterâs degree in Computer Science, Data Science, AI, Software Engineering, or a related field.
- Strong foundation in Python, SQL, or R for data manipulation and analysis.
- Familiarity with data structures, algorithms, and statistical modeling.
- Basic understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data visualization tools (e.g., Matplotlib, Tableau, Power BI) is a plus.
- Knowledge of cloud platforms (AWS, GCP, Azure) or big data tools (Spark, Hadoop) is advantageous.
- Excellent problem-solving skills and a proactive, detail-oriented mindset.
- Strong communication and teamwork abilities in a collaborative environment.