Chhani Vadodara Gujarat System engineer Jobs – 98 Open Jobs Today

Sr. AWS Cloud AI Infrastructure Engineer
Aecor Digital International Private Limited —Vadodara, Gujarat
- Computer Science
- Master's degree
- AWS
Quick apply
Lead Quality Automation Engineer
Anandorja —Vadodara, Gujarat
- AWS
- JavaScript
Power System Study Engineer
Elcon Engineers —Vadodara District, Gujarat
- Electrical experience
- Bachelor's degree
Network & Infrastructure Intern ( Electronics and Communication)
SmartNode —Vadodara, Gujarat
- From ₹5,000 a month
- Windows
- Bachelor's degree
- Computer networking
- Flexible schedule
Quick apply
12d
SCCM Administrator
SI2 Tech —Vadodara, Gujarat
- Full-time
- Software troubleshooting
- Windows
- Scripting
AI Tools & Enterprise Automation Specialist – Business Process Architect
20 Microns Ltd —Vadodara, Gujarat
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
System Completion Admin - Vadodara
Saaki Argus & Averil Consulting —Vadodara, Gujarat
- Bachelor's degree
Quick apply
Power System Engineer
System Protection —Vadodara, Gujarat
- AutoCAD
V&V Engineer
A&W Engineering Works —Vadodara, Gujarat
- Full-time
- System design
- C++
- Software development

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Sales Executive (Real Estate)
Viviana Life Spaces Private Limited —New Alkapuri, Vadodara, Gujarat
1–3 years of experience in *real estate / property sales* preferred. Good knowledge of the Vadodara real estate market will be an advantage.
₹25,000 - ₹50,000 a month
Quick apply
Freshers - ASP.NET / PHP / Android
HaptiX —Vadodara, Gujarat
Net, Andriod, SQL Server, MySQL, HTML, CSS and JavaScript Design, code and test new desktop and web applications. Looking for Freshers for ASP.

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Sr. AWS Cloud AI Infrastructure Engineer

Aecor Digital International Private Limited
Vadodara, Gujarat

Quick apply

Job details

Qualifications

BCS
Cloud infrastructure
Cloud architecture
Law
Computer Science
Software deployment
Master's degree
AWS
Bachelor's degree
Machine learning
Scripting
S3
AI
Python
Identity & access management

Full job description

Role Overview

As a Sr. AWS Cloud AI Infrastructure Engineer, you will play a pivotal role in designing, deploying, and optimizing cloud-native infrastructure tailored for advanced AI/ML applications. Your expertise in AWS services and cloud architecture will be instrumental in enabling scalable, secure, and high-performance environments that support the full lifecycle of AI-driven solutions - from data ingestion to real-time inference. Working alongside a team of specialists, you’ll contribute to cutting-edge AI initiatives, including generative AI, large language models (LLMs), and retrieval-augmented generation (RAG) systems.

The Role

You will be responsible for architecting and operationalizing AWS infrastructure to support enterprise-scale AI applications. This includes managing GPU-powered training/inference environments, serverless orchestration, scalable model hosting, and secure data pipelines. You will ensure AI workloads are production-ready, cost-effective, and compliant with governance and privacy standards. Collaborating with cross-functional teams, you will automate infrastructure provisioning, streamline MLOps workflows, and support the deployment of AI models using services like Bedrock, SageMaker, EKS, and ECS.

Expertise and Experience

Bachelor’s degree in Computer Science, Data Engineering, or a related field. AWS certifications (e.g., Solutions Architect, Machine Learning Specialty) are highly desirable.
4-5+ years of experience in designing and implementing cloud infrastructure, preferably for AI/ML workloads.
Proven expertise in the AWS ecosystem: EC2 (GPU instances), SageMaker, Bedrock, Lambda, Step Functions, EKS/ECS, CloudFormation/CDK, IAM, and S3.
Deep understanding of cloud-native AI architectures (e.g., LLM hosting, vector search, scalable inference endpoints).
Strong programming skills in Python (or similar), with scripting experience to automate infrastructure and deployment.
Experience in building and managing reproducible AI pipelines (training, evaluation, deployment).
Familiarity with MLOps practices and tools like SageMaker Pipelines, MLflow, or Kubeflow.
Solid foundation in cloud security, performance tuning, and monitoring AI infrastructure using CloudWatch, X-Ray, or Prometheus.

Quick apply

Refine Your Search

system engineer jobs in chhani vadodara gujarat

Sr. AWS Cloud AI Infrastructure Engineer

Lead Quality Automation Engineer

Power System Study Engineer

Network & Infrastructure Intern ( Electronics and Communication)

SCCM Administrator

AI Tools & Enterprise Automation Specialist – Business Process Architect

System Completion Admin - Vadodara

Power System Engineer

V&V Engineer

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