Deskripsi Pekerjaan
Are you a driven Computer Science, Engineering, or Data Science student ready to make an impact? National Instruments, a global leader in automated test and measurement systems and a proud part of the Emerson family, is seeking a highly motivated AI and Data Analytics Intern to join our dynamic team in Mandaluyong City.
This is not your typical internship. You will dive headfirst into the world of Industrial AI and Data Analytics, working on projects that directly influence the efficiency and innovation of global engineering operations. From developing predictive maintenance models to optimizing complex test workflows, your work will help Emerson solve its most challenging problems at scale.
Utilizing NI’s powerful hardware and software platforms, you will process vast streams of engineering data, uncover hidden patterns, and build scalable analytical solutions. You will be exposed to the end-to-end lifecycle of data science projects, from problem definition and data ingestion to model deployment and performance monitoring. Mentored by some of the brightest minds in the industry, you will gain deep technical expertise in cloud computing (AWS/Azure), big data frameworks (Spark/Hadoop), and the latest machine learning algorithms and MLOps practices.
We are looking for proactive learners who thrive in a collaborative, agile environment. If you are eager to bridge the gap between academic theory and industrial application, this is the perfect platform to launch your career in AI and Data Engineering. Take the first step towards solving the engineering challenges of tomorrow with National Instruments!
Tanggung Jawab
- Assist in the development and deployment of machine learning models for predictive analytics and process optimization.
- Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and actionable insights.
- Build and maintain scalable data pipelines to automate data collection, processing, and storage.
- Create interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI, or Python libraries).
- Collaborate with cross-functional teams to translate business requirements into analytical projects.
- Participate in Agile ceremonies, contributing to sprint planning, stand-ups, and retrospectives.
- Document model architectures, data flows, and analytical findings for reproducibility and knowledge transfer.
- Stay up-to-date with the latest AI/ML trends and technologies to bring fresh ideas to the team.
Kualifikasi
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.
- Strong programming skills in Python (Pandas, NumPy, Scikit-learn) and proficiency in SQL.
- Solid understanding of fundamental machine learning algorithms including regression, classification, clustering, and neural networks.
- Experience with data visualization tools and techniques to communicate findings effectively.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills in English.
- Ability to work independently and collaboratively in a fast-paced, agile environment.
- A passion for learning and applying new technologies to solve real-world engineering challenges.