- Design a new class of Machine Learning to map AOI parameters with optimal anomaly detection
- Define a generic framework for AOI data and automatic export of relevant data
- Integrate the ML in the whole process
- Increase the quality anomaly detection with innovate ML
- Produce a generic framework to handle AOI data
- Integrate the AI solution in the AOI software
Qualifications :
- Results-driven Software Engineer with 2 years of experience designing developing and maintaining scalable software applications.
- Proficient in multiple programming languages including Java Python and JavaScript with strong expertise in Machine learning methods. Experienced in modern frameworks and technologies such as Spring Boot React and Docker.
- Skilled in full software development lifecycle (SDLC) from requirements gathering and architecture design to testing and deployment. Passionate about writing clean maintainable code and driving continuous improvement through code reviews and automated testing.
- Demonstrated ability to collaborate cross-functionally with product QA and design teams to deliver high-quality software solutions on time.
- Preference is given to technical background on SMT manufacturing: Generalist knowledge and experience on SMT technologies (Reflow Wave Pick&Place Paste printing AOI) and manufacturing procedures
- Very good experience with statistical tools
- Analytical mindset
- Availability to travel;
- Good communications and relationship skills
- High level in English knowledge is mandatory.
Additional Information :
What we offer you:
Challenges in an international environment career opportunities in one of the best companies in the world flexible hours medical services discounts for employees sports and health related activities canteen good access to public transports space for creativity.
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
Design a new class of Machine Learning to map AOI parameters with optimal anomaly detectionDefine a generic framework for AOI data and automatic export of relevant dataIntegrate the ML in the whole processIncrease the quality anomaly detection with innovate MLProduce a generic framework to handle AO...
- Design a new class of Machine Learning to map AOI parameters with optimal anomaly detection
- Define a generic framework for AOI data and automatic export of relevant data
- Integrate the ML in the whole process
- Increase the quality anomaly detection with innovate ML
- Produce a generic framework to handle AOI data
- Integrate the AI solution in the AOI software
Qualifications :
- Results-driven Software Engineer with 2 years of experience designing developing and maintaining scalable software applications.
- Proficient in multiple programming languages including Java Python and JavaScript with strong expertise in Machine learning methods. Experienced in modern frameworks and technologies such as Spring Boot React and Docker.
- Skilled in full software development lifecycle (SDLC) from requirements gathering and architecture design to testing and deployment. Passionate about writing clean maintainable code and driving continuous improvement through code reviews and automated testing.
- Demonstrated ability to collaborate cross-functionally with product QA and design teams to deliver high-quality software solutions on time.
- Preference is given to technical background on SMT manufacturing: Generalist knowledge and experience on SMT technologies (Reflow Wave Pick&Place Paste printing AOI) and manufacturing procedures
- Very good experience with statistical tools
- Analytical mindset
- Availability to travel;
- Good communications and relationship skills
- High level in English knowledge is mandatory.
Additional Information :
What we offer you:
Challenges in an international environment career opportunities in one of the best companies in the world flexible hours medical services discounts for employees sports and health related activities canteen good access to public transports space for creativity.
Success stories dont just happen. They are made...
Make it happen! We are looking forward to your application!
Remote Work :
No
Employment Type :
Full-time
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