3 Aws Rekognition Jobs

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4.0 - 8.0 years

0 Lacs

kochi, kerala

On-site

As a Full Stack Software Engineer at the company, your role involves designing, coding, and debugging software to improve performance and productivity. You will be responsible for maintaining and upgrading existing software, as well as recommending new technologies. Additionally, you will investigate software-related complaints and make necessary adjustments for optimal performance. Key Responsibilities: - Design, code, and debug software - Improve the performance of existing software - Maintain and upgrade existing software - Recommend new technologies for increased productivity - Investigate software-related complaints and make necessary adjustments Qualifications Required: - 4+ years of e...

Posted 3 weeks ago

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3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

As a Senior Ruby on Rails Developer at LXT, an emerging leader in AI training data for global organizations, you will play a crucial role in developing and extending the crowdsourcing platform. Your responsibilities will include optimizing backend components, implementing best practices, and collaborating closely with a distributed team. Your strong experience in Ruby on Rails development, test-driven development (TDD), and working with messaging systems like RabbitMQ will be essential for this role. Responsibilities: - Develop and enhance the crowdsourcing platform using Rails 6.x and 7.x - Apply test-driven development (TDD) best practices to ensure high-quality and maintainable code - Opt...

Posted 1 month ago

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10.0 - 18.0 years

0 Lacs

indore, madhya pradesh

On-site

You should possess a BTech degree in computer science, engineering, or a related field of study, or have 12+ years of related work experience. Additionally, you should have at least 7 years of design and implementation experience with large-scale data-centric distributed applications. It is essential to have professional experience in architecting and operating cloud-based solutions, with a good understanding of core disciplines such as compute, networking, storage, security, and databases. A strong grasp of data engineering concepts like storage, governance, cataloging, data quality, and data modeling is required. Familiarity with various architecture patterns like data lake, data lake hous...

Posted 3 months ago

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