Amazon‘s Artificial General Intelligence (AGI) team whose mission is to build the world’s best Artificial General Intelligence that will enable every Amazon business to deliver more value to its customers and benefits humanity.
Amazon looking for a passionate Software System Development Engineer to join Amazon’s Artificial General Intelligence (AGI) team.
Job Designation : System Development Engineer
Salary : 15 LPA – 25 LPA
Qualification : Bachelor’s / Master’s Degree
Experience : Freshers / Experienced
Skill Set :
- Sound programming skills with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust.
- Proficient in automating, deploying, and supporting infrastructure.
- Familiar with Linux/Unix.
- Sound knowledge of AWS services and concepts.
- Good knowledge of software development lifecycle.
- Experience with CI/CD pipelines build processes.
- Strong Communication Skills.
- strong organizational skills, able to juggle multiple tasks at once.
- Able to work independently and can maintain professionalism under pressure.
Job Description :
AGI foundational models and services can be used across all businesses at Amazon. Powering this growing in AGI is need for Data, that ML model depend. AGI Data Services is a key part of AGI org providing data creation, curation, and analytics services to help develop, test, and train the AI models. This organization generates ground truth data which is used to train machine learning models. The team works with various data formats such as audio, video, and images, and packages this information to be used by internal stakeholders (e.g., data modeling and product teams).
As a SysDev Engineer, You
- design and deliver technology solutions which solve difficult business problems for AGI Customers.
- identify and solve ambiguous problems, architectural deficiencies, or areas where your team’s systems hinder the innovation of other teams, and are learning to do this for other teams in your organization.
- consider the legacy of the systems you build with your team and how they will scale and evolve over time. Y
- our solutions are pragmatic, efficient, and cost-effective.
- make appropriate trade-offs and re-use or extend prior work where possible. When faced with short-term workarounds, you either avoid them entirely, take action to replace them with long-term solutions, or escalate their over-use as necessary.
- thoroughly test your work. You automate and simplify development, test, and operational processes.
Location : Hyderabad, Telangana, India
