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How would you like to work in an organization that provide diverse and inclusive workplace where everyone respects and builds trust with each other? Are you a passionate learner who's always looking for opportunities to improve and innovate? If this is what you are looking for, Intel is the place to be.

At Intel, we are always learning new things and pushing the boundaries...and that drives amazing experiences. We want you to dream big and help us take on some of the biggest technical challenges in the industry.

Intel Vietnam is the largest factory in Intel's global Assembly and Test network and a critical site for our IDM2.0 strategy. The Assembly Engineering department (AE) is an important part of this vision, in charge of assembling our silicon into microprocessors.

We are looking welcome a Module Engineer into our team. A highly energetic individual with strong technical background to drive engineering solutions and enable new technology transfers.

Join us in our journey to create world-changing technology that improves the life of every person on the planet.

*Responsibilities:
• Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
• Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
• Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision-making.
• Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
• Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
• Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
• Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.