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AI/ML Implementation Engineer

2 months ago

Singapur, Singapore Infineon Technologies Full time
Job Description

We are seeking a highly skilled AI/ML Implementation Engineer to join our team at Infineon Technologies. As a key member of our team, you will play a crucial role in improving our current chip verification flow by implementing AI and machine learning techniques.

Key Responsibilities:
  • Develop and Enhance Verification Flows: Utilize machine learning implementation to improve efficiency and automate processes.
  • Data Mining and Machine Learning: Apply data mining and machine learning techniques to make automated decisions and drive business outcomes.
  • Collaboration and Communication: Work closely with multiple interfaces to understand verification flow requirements and implement automation solutions.
Learning Outcomes:
  • Knowledge Gained from Coursework: Demonstrate knowledge gained from EDA tools after gathering raw data and undertaking data structuring.
  • Data Analysis and Processing: Apply data analysis and processing using Python and/or Perl scripts to drive business outcomes.
  • Interfacing to Databases: Develop skills in interfacing to databases such as MySQL and UNIX servers.
  • Hands-on Experience: Obtain hands-on experience in applying engineering knowledge to enhance team efficiency and effectiveness through machine learning.
Requirements:
  • Education: Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Business Analytics, or Data Science.
  • Technical Skills: Strong skills and interest in scripting and programming (Python and/or Perl), knowledge of database management systems (SQL/Django), and experience with Artificial Intelligence, Data Mining, Machine Learning, UNIX, and JIRA.
What We Offer:
  • Training and Development: Wide range of training offers and planning of career development.
  • International Assignments: Opportunities for international assignments and career growth.
  • Career Paths: Different career paths, including Project Management, Technical Ladder, Management, and Individual Contributor.
  • Work-Life Balance: Staggered working hours, home office options, part-time work possible, and on-site day-care center.
  • Benefits: Medical coverage, on-site social counselling and works doctor, health promotion programs, on-site canteen, private insurance offers, paid sick leave, retirement benefits, re-employment opportunities, employment assistance payment, performance bonus, and provision of long haul transport for shift and shuttle services for office to defray transport costs.