DATA SCIENCE & IOT ENGINEER - SMART MFG & AI

Key Skills

Java Programming, Google Dataflow, Oracle, Management, CSS, AngularJS, Python Programming, C++, TypeScript, Node.js, SQL, AWS, Machine learning techniques, Data science techniques, Google BigQuery, Data Visualization, Snowflake, Scikit-learn, RESTful, MySQL, Database testing, OpenCV, Data Engineering, ETL frameworks

Job Description

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR6361 DATA SCIENCE & IOT ENGINEER - SMART MFG & AI

As a Data Science & IoT Engineer at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives and delivers end to end smart manufacturing solution, integrated across functions of the business. The team will look into applying industry-leading the best methodologies in automation, AI and machine learning to enhance Micron’s product development, business and administrative processes across the company.

Responsibilities and Tasks

Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to develop new data science solutions that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc.

• Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics
• Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, visualization, etc. to discover insightful patterns in the dataset
• Work on projects and develop solutions that would be of high impact in various areas such as Fabrication plant, Assembly and Test and Procurement, etc.
• Work closely with IT and Supplier on data management, taking an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc.
• Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem.
• Developing and deploying of the devices, sensors and analytical services on edge or cloud
• Developing responsive design web interface for result visualization and user interaction.
• Creating intuitive user interface for interactive data visualization to explain insights from data.

Requirements

B.S/M.S degree in Science, Electrical Engineering, Mechanical Engineering, Automatic Control, Electronic Engineering, Computer Science, Industrial Engineering or any other engineering discipline with extensive programming exposure

• Good hands-on programming experience (eg Java, C++, python, etc)
• Strong communication skills (written, verbal and presentation)
• Willing to travel and enjoy working in diverse environment
• Any exposure to below will be advantageous
• Knowledge of network infrastructure components, industrial communication systems and IoT protocols such as MQTT, OPC UA and Restful APIs to push data from edge to cloud
• Creation, development and deployment of devices, sensors and analytical services on edge or cloud
• Experience with edge devices application (Arduino, Raspberry Pi, Odroid, etc)
• Sensor connectivity and sensor module assembly and packaging in clean room environment and standards will be a bonus
• Experience in Thingworx platform
• Cloud ecosystem (Google Cloud, AWS, Microsoft Azure) and cloud computing tools (Dataproc, Dataflow, etc)
• ETL, Database (MS SQL, Oracle, MySQL, Snowflake, BigQuery, CloudSpanner etc.)
• Image processing (OpenCV, Python PIL, scikit-image, etc.)
• Web Development (Angular, typescript, css, Node.js, etc)
• Mobile app development (Ionic framework, apache cordova, etc)