Vadodara Gujarat Environment science Jobs – 85 Open Jobs Today

Sr. AWS Cloud AI Infrastructure Engineer
Aecor Digital International Private Limited —Vadodara, Gujarat
- Computer Science
- Master's degree
- AWS
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Angular Intern
NovusArk —Tundao, Gujarat
- ₹3,000 - ₹5,000 a month
- Full-time
- Computer Science
- Software troubleshooting
- JavaScript
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14d

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Angular Intern
NovusArk —Tundao, Gujarat
As an Angular Intern, you will have the opportunity to work on exciting projects and gain hands-on experience in developing dynamic web applications using the…
₹3,000 - ₹5,000 a month
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14d

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Sr. AWS Cloud AI Infrastructure Engineer

Aecor Digital International Private Limited
Vadodara, Gujarat

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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.

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Sr. AWS Cloud AI Infrastructure Engineer

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