AWS Cloud Engineer

Responsibilities And Day To Day Duties

Strong experience in designing, building, and deploying scalable machine learning models in cloud platforms such as AWS.

Analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in AWS.

AWS experts with strong experience in working with modern data integration frameworks,

big data, and DevOps, and is proficient with data programming languages (e.g. Python, SQL).

Interpret the DevOps Tool/feature/component design and develop/support the same in accordance with specifications.

Solid knowledge in EMR, RedShift, SageMaker, and other Paas offerings from AWS.

Follow and contribute existing SOPs to trouble shoot issues Adapt existing DevOps solutions for new contexts.

Code debug test and document; and communicate DevOps development stages/status of DevOps develop/support issues .

Select appropriate technical options for development such as reusing improving or reconfiguration of existing components.

Experience with a variety of generative AI models and techniques.

Innovate cloud-native data solutions such as database structures and functional capabilities, security, back-up, and recovery specifications, etc.

Experience with prompt engineering and machine learning optimisation Experience with reinforcement learning.

Experience with AWS SDKs and programmatic access services, AWS CloudFormation, Experience with distributed computing and scalable systems.

Experience with DevOps and CI/CD.

Experience with generative AI applications in specific domains such as talent management, finance, or manufacturing is a plus.

Excellent communication and interpersonal skills.

Skills:- Cloud Computing, DevOps and Artificial Intelligence (AI)