Mandi Delhi Delhi Ai/ml & generative ai Jobs – 134 Open Jobs Today

Senior Technical Lead
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- Master's degree
3d
Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)
Luxoft —Noida, Uttar Pradesh
- Azure
- DevOps
- English
1d
Senior Data Modeller
Capgemini —Noida, Uttar Pradesh
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- Flexible schedule
SAP BTP LLM Developer-Senior
EY —Noida, Uttar Pradesh
- Computer Science
- Master's degree
- AWS
- Health insurance
Senior Data Modeller
Capgemini Sogeti —Noida, Uttar Pradesh
- SQL
- Flexible schedule
Module Lead, Data Science (LLM-as-a-judge)
BOLD LLC —Noida, Uttar Pradesh
- Master's degree
- SQL
- Machine learning
- Health insurance
- Paid time off
Senior Data Scientist
Optum —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
14d
Senior Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Doctoral degree
- Computer Science
[Services]: Sales Development Representative
Vinove —Noida, Uttar Pradesh
- AI
Quick apply
10d
Sr Executive - Sales
Ganit —Delhi, Delhi
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Tech Lead - Automation N 4C
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
Campus-Advanced Beginner
HCLTech —Noida, Uttar Pradesh
- Azure
- Master's degree
- SQL
1h
Principal Software Engineer- Agentic AI
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Master's degree
- Databases
- Continuous improvement
2h

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Senior Technical Lead

HCLTech -
Noida, Uttar Pradesh

Apply Now

Job details

3 days ago

Qualifications

CI/CD
Azure
Law
Kubernetes
Full-stack development
DevOps
Master's degree
AWS
Quality assurance
Docker
Continuous integration
AI
Python

Full job description

Noida, Uttar Pradesh
Job Summary
LLMOps Engineer
Role Summary

The LLMOps Engineer is responsible for operationalizing, scaling, monitoring, and governing Large Language Model (LLM)–based systems in production. This role focuses on ensuring LLM applications are reliable, performant, cost-efficient, observable, and secure across their lifecycle—from deployment to continuous optimization.

Key Responsibilities

Deploy and manage LLM-based applications across cloud and hybrid environments.
Build and maintain production-grade inference pipelines for LLM workloads.
Design and implement LLMOps pipelines for model, prompt, and configuration lifecycle management.
Implement monitoring for latency, throughput, cost, errors, drift, and hallucinations.
Build dashboards and alerts to ensure SLA and reliability targets.
Optimize inference cost and performance using caching, batching, routing, and autoscaling strategies.
Enforce security, access control, audit logging, and governance controls for LLM usage.
Collaborate with Responsible AI teams to operationalize safety and compliance guardrails.
Enable AI Engineers and Fullstack teams through reusable LLMOps frameworks and platforms.

Required Skills & Experience

Strong understanding of LLMs, Generative AI architectures, and inference workflows.
Hands-on experience running LLM-based systems in production environments.
Strong experience with cloud platforms (Azure, AWS, or GCP).
Hands-on experience with Docker, Kubernetes, and container orchestration.
Experience with CI/CD for ML or AI applications.
Programming and automation skills in Python or similar languages.
Familiarity with MLOps / LLMOps tooling, monitoring, and logging systems.

Experience Level

8+ years of overall experience in DevOps, Platform, or ML/AI Engineering roles.
2+ years of experience operating ML or GenAI systems in production.

Success Measures

Stable, scalable, and cost-efficient LLM systems running in production.
Reduced production incidents and faster recovery for AI services.
Faster and safer enterprise adoption of GenAI solutions enabled through robust LLMOps practices.

Key Responsibilities
1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

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ai/ml & generative ai jobs in mandi delhi delhi

Senior Technical Lead

Senior DevOps Engineer (AWS, Terraform & Amazon Bedrock)

Senior Data Modeller

SAP BTP LLM Developer-Senior

Senior Data Modeller

Module Lead, Data Science (LLM-as-a-judge)

Senior Data Scientist

Senior Manager

[Services]: Sales Development Representative

Sr Executive - Sales

Tech Lead - Automation N 4C

Campus-Advanced Beginner

Principal Software Engineer- Agentic AI

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