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# GCP ML Architect

- **Company:** OpenKyber LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Automation of Tests, Cloud Computing, Continuous Integration, DevOps, Identity and Access Management, Junit, Python (Programming Language), NumPy, Performance Tuning, Tensorflow, SQL Databases, Pytorch, ReactJS, Spring-boot, Generative AI, Amazon Virtual Private Cloud (VPC), Git, Cloudformation, Pandas, Amazon Relational Database Service, Pytest, Scikit Learn, Data Analytics, Machine Learning Operations, Front End Software Development, Functional Programming, Restful APIs, Terraform, Cucumber (Software), Docker, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f760910209d307d5

## About the Role

ONLY 15+ Years Resumes We are seeking a skilled Software Developer with strong experience in Python, Data Analytics, and AWS Cloud, along with hands-on exposure to AI/ML and Generative AI tools. Experience in building AWS infrastructure, Java and React, and strong practice of BDD/TDD testing methodologies is essential. This role focuses on building scalable, secure, and intelligent cloud-based applications with high engineering quality., * Strong proficiency in Python.

 * Experience in Data Analytics (Pandas, NumPy, SQL).
 * Hands-on experience with AWS Cloud & Infrastructure.
 * Proven experience in BDD/TDD and automated testing frameworks (PyTest, JUnit, Cucumber, Behave, etc.).
 * Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
 * Experience with Gen AI tools/APIs (OpenAI, AWS Bedrock, LangChain).
 * Familiarity with Git, CI/CD, and DevOps tools.
 * Strong analytical and communication skills.

Preferred / Added Value Skills:

 * Java (Spring Boot, Microservices).
 * React.js and modern frontend development.
 * Full-stack development experience.
 * Docker & Kubernetes.
 * MLOps and model deployment.
 * Performance and security testing experience.
 * AWS / Cloud / AI certifications.

## Description

* Develop and maintain applications using Python.
 * Analyze and visualize data to support business insights.
 * Design, build, and manage AWS infrastructure (VPC, EC2, S3, Lambda, RDS, IAM, etc.).
 * Implement Infrastructure as Code (Terraform/CloudFormation/CDK).
 * Build and integrate AI/ML and Generative AI solutions.
 * Develop RESTful APIs and microservices.
 * Write and maintain automated tests using BDD/TDD practices.
 * Ensure high code quality through unit, integration, and acceptance testing.
 * Optimize system performance, scalability, and security.
 * Support CI/CD pipelines and DevOps practices.
 * Collaborate with cross-functional teams.


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