Big Data Analytics Graduate Intern

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Intel's Manufacturing and Operations Automation Tool Analytics group is championing the development of AI and Advanced Stats based Tool Analytics Big data solutions. We are hiring for the position of Big Data Analytics Graduate Intern. Responsibilities relating to this position would include development and sustaining of advanced data analytical applications, optimized data paths and integration with Big data infrastructure.

The candidate should be an effective listener possesses excellent presentation and communication skills as well as the willingness to interpret simplify information for others in a clear and concise manner. Candidate should be willing to work Independently as part of a broader organization and collaborate INTELs HVM and Product development facilities. Engagement with internal customers will be essential to ensure that development meets the business need of reducing quality issues and supporting revenues and profit margins. Must demonstrate very high level working experience in Python or C# and willingness to use open source advanced analytics packages.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work, classes, research and/or relevant previous job and or internship experiences. This is an entry level position and will be compensated accordingly

Minimum Qualifications:

• The candidate must be pursuing a Master's or PhD degree in Computer Science, Data science or Analytics, Mathematics or related field.

6+ months of experience in two or more of the following areas:

• Programming in Python or C#/.NET.
• Machine learning and Computer Vision (Open CV etc) with Python.
• Exploratory Data Analytics with various Python packages.

Note: This is a minimum 6 months internship

Preferred Qualifications:

• Previous internship experience.

6 months of experience in the following areas:

• Data Analytics with Spark using SPARK or PySPARK APIs.
• Familiarity with Docker and containerization technologies.
• Experience working with NO SQL data structures like clob, xmls, parquet, HDF5 etc.
• Familiarity with Semiconductor Process and Tools .

Inside this Business Group

As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.