AI Machine Learning - Intern
at Seagate Technology
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 12 Jul, 2024 | Not Specified | 13 Apr, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
ABOUT OUR GROUP:
We are a team of IT (Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of AI and ML allows for real-time data analysis and decision making, predictive maintenance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 - Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support “Smart Factory” initiative, to make better decision and maximize operational excellence.
ABOUT YOU:
We are looking for candidates who are highly passionate about data science and want to apply AI/machine learning/deep learning techniques to solve real-word problems.
- Self-motivated, independent and a team player with strong analytical skills
- Good at Python programming
- Familiarity with AI Machine learning techniques, frameworks, and libraries.
- Bachelor or master’s students in Computer science, computer engineering or any related fields
You will work with our Data Scientist and Data Engineers to research and develop smart factory platform, powered by machine learning, that can provide the following capabilities:
- Detection of fault and performance degradation
- Prediction of process/equipment KPOV
Responsibilities:
You will work with our Data Scientist and Data Engineers to research and develop smart factory platform, powered by machine learning, that can provide the following capabilities:
- Detection of fault and performance degradation
- Prediction of process/equipment KPOVs
You will have the chance to drive meaningful impact at Seagate by designing, building, tuning, and deploying machine learning models that help reduce capital spending and operational cost.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Singapore, Singapore