Badkhal Lake Delhi Delhi Devops engineer Jobs – 143 Open Jobs Today

LLM Ops Engineer
WNS Global Services —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Research
Quick apply
2d
Sr. System Software Engineer
MasORange —Gurugram, Haryana
- Full-time
- Remote
- DevOps
- AWS
- Linux
- Health insurance
- Work from home
11h
Sr. System Software Engineer
Orange Business —Gurugram, Haryana
- Remote
- DevOps
- AWS
- Linux
- Health insurance
- Work from home
11h
Murex Production Support
Capco —Gurugram, Haryana
- Rotational shift
- DevOps
- SQL
- Scripting
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Senior Software Engineer
R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- AWS
Azure Administration
i2k2 Networks —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Linux
Jenkins/Cloudbees Admin
Amrut Software —Noida, Uttar Pradesh
- Full-time
- DevOps
- Java
- APIs
Devops Lead
GoBOLT Logistics —Gurugram, Haryana
Analyst Programmer
Fidelity International —Gurugram, Haryana
- Full-time
- Azure
- Oracle
- Software troubleshooting
8d
DevOps Engineer
WIN Home Inspection —Noida, Uttar Pradesh
- Remote
- Azure
- DevOps
- AWS
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Senior DevOps Engineer
WIN Home Inspection —Noida, Uttar Pradesh
- Remote
- Azure
- DevOps
- AWS
Quick apply
Tech Lead - DevOps 4C
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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11h
Delivery Manager - Data Engineering 4D
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Azure
- Computer Science
- PMP
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1d
Senior Devops Engineer
Distro —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- DevOps
- AI
- Health insurance
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3h

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LLM Ops Engineer

WNS Global Services -
Gurugram, Haryana

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Job details

Full-time
2 days ago

Qualifications

BCS
CI/CD
Azure
Law
Computer Science
Kubernetes
Software deployment
Research
Master's degree
Databases
AWS
Docker
Bachelor's degree
Continuous integration
APIs
Data science
AI
Data Science
Identity & access management

Full job description

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.

Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

We are hiring an LLM Ops Engineer to join our AI Research team, a highly technical group working on cutting-edge advancements in the AI industry. The team focuses on building scalable, production-grade LLM systems, fine-tuning strategies, evaluation frameworks, and next-generation deployment architectures.

This role requires hands-on experience operating LLMs beyond simple API integration. The ideal candidate understands the architectural, operational, and evaluation complexities that differentiate LLMOps from traditional MLOps.

Responsibilities:-

Manage the end-to-end lifecycle of LLMs: registry, packaging, versioning, deployment, monitoring, and rollback.
Deploy and operate self-hosted / open-source LLMs (not limited to OpenAI API usage).
Design and manage scalable inference infrastructure, including GPU-aware deployments.
Implement CI/CD pipelines for LLM deployment and continuous evaluation.
Monitor system performance including latency, throughput, token usage, cost, drift (model and data), and hallucinations.
Ensure secure, compliant, and resilient cloud-based model deployments.
Collaborate with research and engineering for deployments.

Skills:-

Strong hands-on experience with LLM handling, hosting, and operationalization.
Clear understanding of how LLMOps differs from traditional MLOps (prompt management, non-deterministic outputs, semantic evaluation, token economics, guardrails etc.).
Experience with Kubernetes, Docker, and containerized deployments.
Cloud expertise (AWS / Azure / GCP) including compute, storage, IAM, networking, and monitoring.
Experience building scalable inference and model-serving architectures.
Familiarity with tools such as MLflow, Kubeflow etc. (good to have).
Understanding of vector databases, RAG systems, and evaluation frameworks (preferred).
Knowledge of GenAI security considerations (prompt injection, data leakage prevention).

Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field.
DevOps certification (e.g., AWS DevOps Engineer, Azure DevOps, or equivalent).
3–5 years of experience in MLOps, LLMOps, ML Engineering, or related roles.
Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related technical field.
Demonstrated experience deploying ML/LLM systems in production environments.

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devops engineer jobs in badkhal lake delhi delhi

LLM Ops Engineer

Sr. System Software Engineer

Sr. System Software Engineer

Murex Production Support

Senior Software Engineer

Azure Administration

Jenkins/Cloudbees Admin

Devops Lead

Analyst Programmer

DevOps Engineer

Senior DevOps Engineer

Tech Lead - DevOps 4C

Delivery Manager - Data Engineering 4D

Senior Devops Engineer

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