Amazon

Application Engineer III, AWS Bedrock

Bengaluru, India
AWS Machine Learning SQL
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Description
- 2+ years of software development, or 2+ years of technical support experience
- Experience scripting in modern program languages
- Experience troubleshooting and debugging technical systems
- Knowledge of web services, distributed systems, and web application development
- Experience troubleshooting & maintaining hardware & software RAID
- Experience with REST web services, XML, JSON
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Are you someone who cares about customer experience, do you have a passion for Operations Management and Machine Learning? If so, then we're looking for you!
Interested in working with data for machine learning? Do you have a passion for writing Code, developing secured applications ? Do you have passion of leveraging your strong linguistic skills to augment your SQL and Coding knowledge to build the next generation Machine learning models. This role focuses on apps development and Coding, Excel and SQL functions in the areas of text annotations.
We are seeking an Application Engineer to join our team in Bangalore India to help create, label and curate the data that are required to measure our model accuracy and build new automation features. You should also feel comfortable labelling and understanding data using knowledge of your technical writing and basic coding skills
The Application Engineer should be agile, creative, and highly motivated to:

Perform root cause analysis using basic data analysis in Excel and SQL on annotations to identify Quality issues.

Be able to develop high quality applications to generate annotation examples. Be able to annotate and deliver Data at prescribed quality and volume.

Be passionate and creative in guiding the automation improvements for tooling efficiencies.

Deliver results according to project schedules and quality while maintaining SLAs on velocity, productivity and quality.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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