Dl Devops / platform engineer Jobs – 76 Open Jobs Today

GenAi Engineer Excelra
Skyleaf Consultants —Delhi
- ₹20,00,000 - ₹25,00,000 a year
- Full-time
- Azure
- DevOps
- Databases
Technical Support Engineer, India
AlgoSec —Delhi, Delhi
- Full-time
- Remote
- DevOps
- English
- Linux
Quick apply
Principal Engineer (DevOps)
Lucideus —Unknown, Delhi
- Computer Science
- DevOps
- Master's degree
Quick apply
DevOps Engineer - Tech and AI
Council on Energy, Environment and Water —Delhi, Delhi
- Full-time
- Computer Science
- DevOps
- Master's degree
Sr. Site Reliability Engineer (SRE)
Codeguardian Tech International Pvt Ltd. —Delhi, Delhi
- Weekend availability
- Computer Science
- Software troubleshooting
- DevOps
Quick apply
14d
Staff AI Agentic Automation Platform Engineer
Educational Testing Service (ETS) —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
- Paid time off
Quick apply
8d
Associate Infrastructure Engineer
SITA Switzerland Sarl —Delhi
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Work from home
Senior Cloud Infrastructure Engineer
SITA Switzerland Sarl —Delhi
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Work from home
Managing Director / Head of Technology and Operations
KoreCare —Delhi
- From ₹5,00,000 a month
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
Quick apply
7d
Junior Embedded Engineer
Kimbal —Delhi, Delhi
- Computer networking
- APIs
- Linux
Quick apply
Databricks Engineer
Phygital Insights —Delhi, Delhi
- Full-time
- Azure
- Oracle
- English
QA Testing & Client Support for SaaS
Frontline Data Solutions —Delhi, Delhi
- ₹20,000 - ₹24,000 a year
- Full-time
- Remote
- Azure
- Software troubleshooting
- DevOps
Quick apply
Senior Machine Learning Operations Engineer
Siemens —Delhi, Delhi
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Master's degree
AI Project Manager
Techmagnate —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- PMP
Manual QA Engineer
Labham PPPB Infrareality —Delhi, Delhi
- ₹12,00,000 - ₹19,00,000 a year
- Full-time
- Azure
- DevOps
- Windows
Quick apply
Software Engineer
ERM Group —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Software Engineer - Backend - Remote
Jitterbit —Delhi, Delhi
- Full-time
- Remote
- Java
- AWS
- Analysis skills
Quick apply
Senior Full Stack Engineer
XO Health Inc. —Delhi, Delhi
- ₹25,00,000 - ₹35,00,000 a year
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Software Engineer
Morningstar —Delhi, Delhi
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Lead Cloud Infrastructure Engineer
SITA Switzerland Sarl —Delhi
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Work from home
7d

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GenAi Engineer Excelra

Skyleaf Consultants -
Delhi

Apply Now

Job details

Full-time
₹20,00,000 - ₹25,00,000 a year

Qualifications

Azure
DevOps
Databases
AWS
Natural language processing
Cloud computing
AI
Communication skills
Python

Full job description

Excelra

Highlights:

4.00 - 11.00 Years

20.00 - 25.00 INR (Lacs)/Yearly

Full-time

Delhi, Bengaluru, Hyderabad

Roles & Responsibility

Key Responsibilities:

Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
Implementing AI models: This involves building and integrating AI models into existing systems and applications.
Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
Data preprocessing and analysis: This involves preparing data for use in AI models.
Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills:

Strong programming skills in Python: Python is the preferred language for AI development.
Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
Experience with DevOps practices: This can help with automating the development and deployment of AI models.

Requirements

Key Responsibilities:

Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.
Implementing AI models: This involves building and integrating AI models into existing systems and applications.
Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.
Data preprocessing and analysis: This involves preparing data for use in AI models.
Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.
Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.
Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.
Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills:

Strong programming skills in Python: Python is the preferred language for AI development.
Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.
Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.
Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.
Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.
Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.
Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Optional Skills:

Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models.
Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner.
Experience with DevOps practices: This can help with automating the development and deployment of AI models.

Apply Now

Refine Your Search

devops / platform engineer jobs in dl

GenAi Engineer Excelra

Technical Support Engineer, India

Principal Engineer (DevOps)

DevOps Engineer - Tech and AI

Sr. Site Reliability Engineer (SRE)

Staff AI Agentic Automation Platform Engineer

Associate Infrastructure Engineer

Senior Cloud Infrastructure Engineer

Managing Director / Head of Technology and Operations

Junior Embedded Engineer

Databricks Engineer

QA Testing & Client Support for SaaS

Senior Machine Learning Operations Engineer

AI Project Manager

Manual QA Engineer

Software Engineer

Senior Software Engineer - Backend - Remote

Senior Full Stack Engineer

Software Engineer

Lead Cloud Infrastructure Engineer

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