AI Infrastructure Engineer

• 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.

Do you have experience in Machine learning libraries?, 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.