Delhi Ai/ml engineer Jobs – 70 Open Jobs Today

Cloud Architect
ICF —New Delhi District, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
Senior UI/UX Designer
Wadhwani AI —Delhi, Delhi
- Email
- English
- Research
- Administrative experience
Quick apply
Cyber Security Engineer III - 1612
GHX —Delhi, Delhi
- Data analysis skills
- Master's degree
- AWS
Senior Sales Engineer
SatSure Analytics India —Unknown, Delhi
- Computer Science
- Project management
- Bachelor's degree
- Health insurance
- Paid time off
Senior Software Engineer- Java Fullstack
go4WorldBusiness.com —Delhi, Delhi
- Weekend availability
- Computer Science
- System design
- Java
Lead Software Engineer- Java Fullstack
go4WorldBusiness.com —Delhi, Delhi
- Weekend availability
- Computer Science
- System design
- Java
Design Engineer
IIO Technologies Pvt Ltd —Delhi
- Up to ₹60,000 a month
- Full-time
- CAD
- Master's degree
- Assembly
Quick apply
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Cloud Architect

ICF -
New Delhi District, Delhi

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Job details

Full-time

Qualifications

BCS
CI/CD
Cloud infrastructure
Azure
Cloud architecture
Computer Science
Kubernetes
Ansible
DevOps
Configuration management
Git
Google Cloud Platform
Bash (Unix shell)
RBAC
AWS
Docker
Bachelor's degree
Terraform
Continuous integration
Splunk
Azure Certification
Scripting
Software development
GitHub
AI
Jenkins
GitLab
Communication skills
Python
AWS Certified DevOps Engineer – Professional
AWS Certified Solutions Architect – Professional

Full job description

Description

Job Description:

We are seeking a highly skilled and motivated Cloud DevOps Engineer with a strong background in computer science, software development, cloud networking, and security principles. The ideal candidate will have extensive experience in cloud technologies and DevOps practices and will be responsible for designing, implementing, and maintaining scalable and secure cloud infrastructure.

Key Responsibilities:

Design, deploy, and manage scalable, secure, and reliable cloud infrastructure.
Implement DevSecOps practices to enhance security across the development lifecycle.
Automate the deployment, monitoring, and management of cloud-based applications.
Collaborate with cross-functional teams to ensure seamless integration and continuous delivery.
Build and manage CI/CD pipelines to streamline development and deployment processes.
Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and efficiency.
Ensure adherence to security and compliance best practices across all cloud environments, including permission sets, Service Control Policies (SCPs), and other advanced security principles or Azure policies, RBAC controls.
Architect and implement robust cloud networking solutions, including VPCs, hub-and-spoke models, and cross-cloud provider connectivity.
Leverage SecOps technologies like Microsoft Defender, Rapid7, Splunk, or similar tools to enhance system security and visibility.
Drive cost optimization efforts by analyzing infrastructure usage and implementing strategies to minimize costs while maintaining performance and reliability.
Stay up-to-date with industry trends and emerging technologies to drive innovation.
Knowledge of Agentic Development is an advantage

Qualifications:

Experience of 8-12 years across Infrastructure Automation on Cloud Platforms
Experience in software development and cloud DevOps (internships, projects, or coursework).
Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Proficiency in cloud networking concepts, including VPC design, subnetting, hub-and-spoke architectures, and hybrid or multi-cloud connectivity.
Expertise in scripting and automation tools such as Python, Bash, Terraform, Ansible, CloudFormation, Azure ARM, or Pulumi.
Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or GitHub Actions.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Strong understanding of security best practices, including permission sets and Service Control Policies (SCPs).
Knowledge of SecOps technologies such as Rapid7, Splunk, or other similar tools.
Knowledge of Cloud AI Services like AI Foundry or SageMaker or Bedrock is a plus
Knowledge of Cloud Data Technologies like Azure Synapse, AWS Glue, Snowflake, or Databricks is a plus
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Bachelor’s degree in computer science or a related field.

Preferred Qualifications:

Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure DevOps Engineer Expert).
Experience with infrastructure as code (IaC) and configuration management.
Knowledge of Service Catalogs is a plus.
Knowledge of Azure Dev Center is a plus.
Exposure to AI/ML and Generative AI technologies is a plus.

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.

India Remote Office (II99)

Apply Now

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ai/ml engineer jobs in delhi

Senior UI/UX Designer

Cyber Security Engineer III - 1612

Senior Sales Engineer

Senior Software Engineer- Java Fullstack

Lead Software Engineer- Java Fullstack

Design Engineer

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Job Description:

Key Responsibilities:

Design, deploy, and manage scalable, secure, and reliable cloud infrastructure.

Implement DevSecOps practices to enhance security across the development lifecycle.

Automate the deployment, monitoring, and management of cloud-based applications.

Collaborate with cross-functional teams to ensure seamless integration and continuous delivery.

Build and manage CI/CD pipelines to streamline development and deployment processes.

Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and efficiency.

Ensure adherence to security and compliance best practices across all cloud environments, including permission sets, Service Control Policies (SCPs), and other advanced security principles or Azure policies, RBAC controls.

Architect and implement robust cloud networking solutions, including VPCs, hub-and-spoke models, and cross-cloud provider connectivity.

Leverage SecOps technologies like Microsoft Defender, Rapid7, Splunk, or similar tools to enhance system security and visibility.

Drive cost optimization efforts by analyzing infrastructure usage and implementing strategies to minimize costs while maintaining performance and reliability.

Stay up-to-date with industry trends and emerging technologies to drive innovation.

Knowledge of Agentic Development is an advantage

Qualifications:

Experience of 8-12 years across Infrastructure Automation on Cloud Platforms

Experience in software development and cloud DevOps (internships, projects, or coursework).

Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

Proficiency in cloud networking concepts, including VPC design, subnetting, hub-and-spoke architectures, and hybrid or multi-cloud connectivity.

Expertise in scripting and automation tools such as Python, Bash, Terraform, Ansible, CloudFormation, Azure ARM, or Pulumi.

Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or GitHub Actions.

Familiarity with containerization and orchestration tools like Docker and Kubernetes.

Strong understanding of security best practices, including permission sets and Service Control Policies (SCPs).

Knowledge of SecOps technologies such as Rapid7, Splunk, or other similar tools.

Knowledge of Cloud AI Services like AI Foundry or SageMaker or Bedrock is a plus

Knowledge of Cloud Data Technologies like Azure Synapse, AWS Glue, Snowflake, or Databricks is a plus

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Bachelor’s degree in computer science or a related field.

Preferred Qualifications:

Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure DevOps Engineer Expert).

Experience with infrastructure as code (IaC) and configuration management.

Knowledge of Service Catalogs is a plus.

Knowledge of Azure Dev Center is a plus.

Exposure to AI/ML and Generative AI technologies is a plus.