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| COMPANY | : | [ Applied Materials ] |
| ROLE | : | [ Process Technicion ] |
| VACANCY | : | [ 20+ ] |
| QUALIFICATION | : | [ BE /ME /BTECH /MTECH /DIPLOMA/ MBA /BSC /MSC /BA /MA( Diploma in Electronics / Computer Science/ IT /Electrical Engineering ) Or Engineering Related Field ] |
| EXPERIENCE | : | [ 1 to 2 years ] |
| SALARY | : | [ Upto Rs.7,00,000 To Rs.9,00,000/Year ] |
| LOCATION | : |
[ Bangalore,India ] |
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ABOUT COMPANY :
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations Make Possible a Better Future.JOB DESCRIPTION :
We are looking for a Data Annotator to join our team. In this role, you will assist our team in crafting labeled data for machine learning / deep learning projects. This role provides the opportunity to collaborate with a team that develops world class solutions with groundbreaking technology.
Roles & Responsibilities
- Take batches of data, and label it according to the project requirements with a sufficient level of accuracy
- Use advanced tools to locate, label, tag and categorize various elements in large image datasets.
- Provide constructive feedback to the R&D team to improve labeling tools and labeling methodology.
- You will be responsible for the quality assurance of all data sets.
- Support onsite projects – open to 60% international travel annually
Requirements- Qualification: Diploma in Electronics / Computer Science/ IT /Electrical Engineering
- Experience working with scripts, hands-on in python/C, SQL
- Self-motivated and assume ownership of a project
- Detail oriented, strive to label accurately
- Ability to do repetitive tasks without degradation in quality.
- Fluent English read and write.
- Ability to learn labeling tool and techniques, empathetic to learning new software.
- Reliable, committed and motivated
- Minimum 2 years of experience in data annotation.
- Experience of similar activities would be an advantage, e.g. image segmentation and classification.
- Familiarity with semiconductor fabrication process – advantage
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JOB DESCRIPTION : ( SAME DESCRIPTION ONLY USE TO PRINT OUT PERSON )
We are looking for a Data Annotator to join our team. In this role, you will assist our team in crafting labeled data for machine learning / deep learning projects. This role provides the opportunity to collaborate with a team that develops world class solutions with groundbreaking technology.
Roles & Responsibilities
- Take batches of data, and label it according to the project requirements with a sufficient level of accuracy
- Use advanced tools to locate, label, tag and categorize various elements in large image datasets.
- Provide constructive feedback to the R&D team to improve labeling tools and labeling methodology.
- You will be responsible for the quality assurance of all data sets.
- Support onsite projects – open to 60% international travel annually
Requirements
- Qualification: Diploma in Electronics / Computer Science/ IT /Electrical Engineering
- Experience working with scripts, hands-on in python/C, SQL
- Self-motivated and assume ownership of a project
- Detail oriented, strive to label accurately
- Ability to do repetitive tasks without degradation in quality.
- Fluent English read and write.
- Ability to learn labeling tool and techniques, empathetic to learning new software.
- Reliable, committed and motivated
- Minimum 2 years of experience in data annotation.
- Experience of similar activities would be an advantage, e.g. image segmentation and classification.
- Familiarity with semiconductor fabrication process – advantage
How to apply :
Click on the below link, it will take you to the source page, where you can applyNote :
Please let us know if you have any problems applying for jobs by commenting below. Our support team will help you as soon as possible. We advise you not to share your card details or pay money to anyone. Be aware of these types of scams
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