Cloud Engineer

3 days ago


Hyderabad, Telangana, India Deep AI OCR Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Company Description
Deep AI OCR
is an "AI First" company that aims to reimagine document processing in organizations by leveraging advanced AI LLMs. We provide efficient and accurate AI-powered optical character recognition solutions that enhance productivity for businesses of all sizes. Our solutions generate
70% of the code using AI
, and our trained Agentic AI models can extract over
99% of information
from PDFs, ranging from simple to highly complex and handwritten documents. Our benchmarking results show unprecedented accuracy, revolutionizing the document processing space.

Role Description
This is a full-time
on-site
role for a
Cloud Engineer
located in
Hyderabad
. The Cloud Engineer will be responsible for developing and maintaining software, managing cloud infrastructure, ensuring smooth cloud computing operations, and administering Linux systems.

A key part of the role involves leveraging
Python
for automation, scripting, and integrating core cloud services with our proprietary AI/ML models. Daily tasks will include collaborating with the development team, optimizing cloud services, implementing
Python-based automation and CI/CD processes
, managing databases, and ensuring system reliability and security for our high-availability document processing platform.

Qualifications

- Strong proficiency in Python is required with 0-1 year experience as cloud engineer- Experience in Software Development (DevOps/SRE mindset).
- Expertise in managing Cloud Infrastructure (AWS, Azure, or GCP).
- Strong Cloud Computing skills, including serverless architecture and containerization (Docker/Kubernetes).
- Expertise in Linux systems administration.
- Proficiency in working with Databases (SQL/NoSQL).
- Excellent troubleshooting and problem-solving abilities.
- Strong communication and teamwork skills.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Experience in AI-based OCR solutions, MLOps, or large-scale data pipelines is a significant plus.


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