Up Azure devops engineer Jobs – 78 Open Jobs Today

Senior Technical Lead
HCLTech —Noida, Uttar Pradesh
- Azure
- AWS
- Machine learning
6h
Tech Lead - Enterprise Application Salesforce P 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Salesforce
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21h
Computer Scientist II
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Master's degree
Lead Developer
360 DC Group —Noida, Uttar Pradesh
- Azure
- DevOps
- Java
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3976989-Senior Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- B.Sc
Senior DevOps Engineer
WIN Home Inspection —Noida, Uttar Pradesh
- Remote
- Azure
- DevOps
- AWS
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Sr. Engineer - DevOps 4B
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Weekend availability
- Azure
- Computer Science
- Software troubleshooting
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19h
Automation Engineer
Kyndryl —Greater Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Scripting
19h
Advisory Services Consultant
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Software troubleshooting
- DevOps
- Health insurance
16h

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Senior Technical Lead

HCLTech -
Noida, Uttar Pradesh

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Job details

6 hours ago

Qualifications

TensorFlow
CI/CD
Azure
Kubernetes
Software deployment
Git
AWS
Docker
Machine learning
Continuous integration
AI
Jenkins
GitLab
Communication skills
Python

Full job description

| Noida, Uttar PradeshBangalore, Karnataka
Job Summary

Experience Level: 5 Plus years with at least 3 years in MLOps and AI infrastructure Role Overview:

The ideal candidate will have deep expertise in CICD pipelines for machine learning, model governance, and operationalizing AI systems with traceability,

rollback, and auditability.

Focus Areas: AI Infrastructure Design and Deployment Model Lifecycle Management CICD for Machine Learning Pipelines Model Governance and Compliance

Traceability, Rollback, and Auditability Enablement

Key Responsibilities

Key Responsibilities: implement robust MLOps frameworks to support scalable AI/ML model deployment and lifecycle management.

Design and maintain CI/CD pipelines tailored for machine learning workflows, ensuring seamless integration with data engineering and DevOps practices.

Enable traceability across the ML lifecycle from data ingestion to model deployment and monitoring.

Implement rollback mechanisms and audit trails to ensure reliability and accountability in model operations.

Collaborate with Data Scientists, ML Engineers, and DevOps teams to align infrastructure with business and technical requirements.

Evaluate and integrate tools and platforms for model monitoring, drift detection, and performance tracking.

Ensure security, scalability, and cost efficiency of AI infrastructure across cloud and hybrid environments.

Skill Requirements

Required Skills and Qualifications: Proven experience in MLOps, AI infrastructure, and ML model deployment.

Strong understanding of CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) and ML platforms (e.g., MLflow, Kubeflow, SageMaker).

Hands on experience with containerization (Docker), orchestration (Kubernetes), and cloud services (AWS, Azure, GCP).

Familiarity with model governance frameworks and compliance standards.

Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit learn).

Excellent problem solving and communication skills.

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