Remote Ai platform engineer Jobs – 586 Open Jobs Today

AI DevOps Engineer (AWS)
CloudiQS —Remote
- ₹10,00,000 - ₹17,00,000 a year
- Full-time
- Remote
- Azure
- Software troubleshooting
- DevOps
Quick apply
AI Engineer
Codetoday.io —Remote
- ₹1,50,000 - ₹2,00,000 a month
- Remote
- Master's degree
- AWS
- Analysis skills
Quick apply
AI Engineer
QRight Solutions —Remote
- ₹30,00,000 - ₹35,00,000 a year
- Email
- Remote
- Engineering
- Java
- Master's degree
Quick apply
Applied AI Engineer
Ohmyweb —Remote
- ₹20,000 - ₹25,000 a month
- Full-time
- Remote
- Azure
- Databases
- AWS
- Work from home
- Paid sick time
Quick apply
Product Support Engineer (AI Platform)
Netomi —Remote
- Full-time
- Remote
- Salesforce
- Java
- Administrative experience
Quick apply
Lead AI and Data Platform Engineer
Kasmoprav —Remote
- ₹1,00,000 - ₹1,20,000 a month
- Full-time
- Remote
- Master's degree
- Databases
- SQL
- Health insurance
- Work from home
Quick apply
10d
AI Engineer (Gemini Enterprise)
Techolution —Remote
- Full-time
- Remote
- Machine learning
- APIs
- AI
- Health insurance
AI/ML Engineer - Healthcare
Alchi Design Studio —Remote
- ₹3,98,683.78 - ₹16,54,586.77 a year
- Remote
- Azure
- Master's degree
- AWS
Quick apply
AI Engineer l (Generative AI)
MyAdvice —Remote
- ₹12,00,000 - ₹15,00,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- Master's degree
- Health insurance
- Flexible schedule
Quick apply
AI Engineer
Voxiis —Remote
- ₹6,00,000 - ₹15,00,000 a year
- Full-time
- Remote
- Azure
- English
- Master's degree
- Health insurance
- Paid time off
Quick apply
10h
AI/ML Engineer – Python & Agentic AI Systems
Trantor Software Pvt. Ltd —Remote
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Salesforce
- Machine learning
- APIs
- Work from home
Quick apply
1d
AI/ML Engineer
Expertshub.ai —Remote
- ₹3,93,202.28 - ₹16,33,332.74 a year
- Remote
- Azure
- Computer Science
- B.Sc
- Paid holidays
- Health insurance
Quick apply
Azure AI Engineer (LLM & Copilot) - India (Remote)
CLaaS2SaaS —Remote
- ₹1,90,000 - ₹2,50,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
- Health insurance
- Work from home
Quick apply
8d
AWS - Full Stack Developer & Agentic AI
CloudiQS —Remote
- ₹14,00,000 - ₹22,00,000 a year
- Full-time
- Remote
- DevOps
- Master's degree
- AWS
- Work from home
Quick apply
AI Engineer
Customertimes —Remote
- ₹14,72,403.35 - ₹40,00,000.00 a year
- Full-time
- Remote
- Azure
- Computer Science
- Java
- Paid time off
- Flexible schedule
Quick apply
10d
AI / LLM Integration Engineer
Codvo.ai —Remote
- Full-time
- Remote
- Master's degree
- Machine learning
- Continuous improvement
- Work from home
AI Engineer - FDE (Forward Deployed Engineer)
Databricks —Remote
- Remote
- Azure
- Computer Science
- AWS
Applied AI Engineer (Automation)
Fusemachines —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
AI/ML Fine-Tuning and Training Engineer
Verterim —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Databases
Quick apply
2h
Looking for AI Engineer
Inssemble Technologies Pvt. Ltd. —Remote
- ₹6,00,000 a year
- Full-time
- Remote
- Oracle
- ERP systems
- Databases
- Paid time off
- Flexible schedule
Quick apply

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AI DevOps Engineer (AWS)

CloudiQS
Remote

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Job details

Full-time
₹10,00,000 - ₹17,00,000 a year

Qualifications

CI/CD
Cloud infrastructure
Azure
Software troubleshooting
Kubernetes
DevOps
Bash (Unix shell)
AWS
Docker
Cloud security
Terraform
Continuous integration
Scripting
Agile
S3
AI
RDS database
Communication skills
Python
AWS Certified DevOps Engineer – Professional
High availability
AWS Certified Solutions Architect – Professional
Identity & access management

Full job description

About CloudiQS:

CloudiQS is a dynamic, cloud-native solutions provider specializing in AWS services, digital transformation, and AI/ML-driven business solutions. As a forward-thinking company, we focus on delivering innovative cloud solutions that help businesses scale and succeed. We are expanding our DevOps team and are seeking a talented AWS DevOps Engineer with experience in Generative AI (GenAI) technologies to join us in delivering high-impact projects for our growing customer base.

Role Overview:

We are looking for an experienced AWS DevOps Engineer who has a strong background in cloud-native architectures, DevOps practices, and hands-on experience with Generative AI (GenAI) tools and services on AWS. In this role, you will collaborate with cross-functional teams to design, deploy, and manage scalable, secure, and cost-effective cloud infrastructures. You will be responsible for integrating cutting-edge AI/ML workflows, including Generative AI models, and driving innovation in both our internal projects and client solutions.

Key Responsibilities:

Design, implement, and manage cloud infrastructure on AWS using best practices.
Automate deployment pipelines and infrastructure provisioning using tools such as Terraform, CloudFormation, and AWS CDK.
Optimize cloud resources for cost efficiency, scalability, and high availability.
Implement and manage AI/ML workflows, including integration with AWS services such as Amazon Bedrock, SageMaker, Lambda, and others.
Collaborate with data scientists and developers to deploy and manage GenAI models and applications in production environments.
Maintain CI/CD pipelines to ensure rapid, efficient deployment of software.
Monitor, troubleshoot, and resolve production issues to ensure high availability and performance.
Ensure AI/ML models are deployed in compliance with security and privacy standards, including GDPR and other regulatory requirements.
Automate cloud infrastructure provisioning, scaling, and monitoring to improve operational efficiency.
Provide hands-on support for deploying, optimizing, and integrating AI-based applications such as text analysis, image recognition, and generative AI.
Drive continuous improvements in DevOps practices and suggest better tools and processes.

Required Skills & Experience:

Proven experience as an AWS DevOps Engineer, with a strong focus on cloud infrastructure and automation.
Hands-on experience with AWS services such as EC2, S3, Lambda, EKS, ECS, RDS, VPC, CloudFormation, and IAM.
Experience in managing AI/ML workflows on AWS, including working with Amazon Bedrock, SageMaker, and other AI/ML services.
Familiarity with GenAI tools and frameworks, and experience deploying them in cloud environments.
Strong knowledge of Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
Proficiency in scripting languages such as Python, Bash, or Shell for automation tasks.
Experience with containerization and orchestration using Docker, Kubernetes, and AWS EKS.
Solid understanding of cloud security best practices and AI/ML security considerations.
Ability to troubleshoot complex cloud and AI-related issues, ensuring high availability and performance.
Strong communication and collaboration skills to work with both technical and non-technical teams.

Preferred Qualifications:

Experience with popular GenAI tools and frameworks like GPT, DALL·E, and BERT.
Familiarity with data privacy regulations such as GDPR and CCPA.
Knowledge of monitoring tools such as Prometheus, Grafana, and AWS CloudWatch.
AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
Experience with other cloud platforms (GCP, Azure) is a plus.

Why Join CloudiQS?

Work with innovative AWS technologies, including Generative AI, to solve complex business challenges.
Be part of a collaborative, agile team that thrives on learning and growth.
Opportunities to grow professionally within a rapidly expanding company.
Competitive salary, benefits, and flexible working arrangements.

Job Type: Full-time

Pay: ₹1,000,000.00 - ₹1,700,000.00 per year

Experience:

DevOps: 6 years (Required)
AWS Agentic Ai: 3 years (Required)
Working for other AWS consultings Partners : 3 years (Required)
AWS Automations : 5 years (Required)

Work Location: Remote

Quick apply

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ai platform engineer jobs in remote

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