Remote Ml / llm engineer Jobs – 91 Open Jobs Today

Azure DevOps & GenAI Engineer
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Software troubleshooting
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Senior Backend Developer
Gnani Innovations —Remote
- Remote
- Azure
- Master's degree
- AWS
Tech Lead – Full Stack (AI-First Mindset)
Codvo.ai —Remote
- Full-time
- Remote
- Azure
- DevOps
- System design
Azure DevOps / Python / Gen AI Engineer
WebSenor InfoTech —Remote
- Full-time
- Remote
- Azure
- Software troubleshooting
- DevOps
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Senior Technical Sales Engineer
Innovecture —Remote
- Full-time
- Remote
- Azure
- Sales
- Salesforce
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Azure Devops, Python, Gen AI
Websenor —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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Software Architect - Enterprise Java * Cloud-Native * AI-Augmented Development
Zact Inc. —Remote
- Full-time
- Remote
- Java
- Master's degree
- Machine learning
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AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,20,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
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Azure DevOps & GenAI Engineer

WebSenor InfoTech -
Remote

Quick apply

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Azure
Law
Computer Science
Software troubleshooting
Kubernetes
Software deployment
DevOps
Test automation
Git
Master's degree
Docker
Bachelor's degree
Release management
Terraform
Continuous integration
REST
Scripting
Scrum
APIs
Agile
AI
Python
Analytics
Information Technology

Full job description

Job Overview

We are looking for a skilled Azure DevOps & GenAI Engineer with strong expertise in Azure DevOps, Python, cloud automation, CI/CD, and Generative AI. The ideal candidate will be responsible for developing and automating cloud infrastructure, building deployment pipelines, and integrating GenAI capabilities into enterprise applications and workflows.

Key Responsibilities

Design, implement, and maintain CI/CD pipelines using Azure DevOps.
Manage source code, repositories, branching strategies, and release processes.
Develop automation scripts and utilities using Python.
Automate application deployment, infrastructure provisioning, and operational processes.
Implement and manage Azure cloud services and DevOps solutions.
Develop and maintain Infrastructure as Code (IaC) using Terraform, ARM templates, or Bicep.
Monitor application and infrastructure performance using Azure monitoring tools.
Implement security, access controls, secrets management, and DevSecOps practices.
Integrate Generative AI and LLM capabilities into enterprise applications and DevOps workflows.
Develop Python-based solutions for interacting with LLMs, APIs, and AI services.
Work with Azure OpenAI and other Azure AI services to develop GenAI solutions.
Build and support RAG (Retrieval-Augmented Generation) workflows, prompt engineering, embeddings, and vector search solutions.
Automate AI/ML deployment and operational workflows where required.
Collaborate with developers, data engineers, AI engineers, and business stakeholders.
Troubleshoot deployment, infrastructure, application, and pipeline issues.
Ensure scalability, reliability, security, and performance of cloud-based solutions.
Maintain technical documentation, deployment procedures, and operational standards.

Required Skills

Strong hands-on experience with Microsoft Azure and Azure DevOps.
Strong programming and scripting skills in Python.
Experience creating and managing CI/CD pipelines.
Knowledge of Git, YAML pipelines, and release management.
Experience with Azure services and cloud infrastructure.
Hands-on experience with Infrastructure as Code (Terraform/Bicep/ARM).
Understanding of containers and Docker/Kubernetes is preferred.
Practical knowledge of Generative AI, LLMs, and AI APIs.
Experience with Azure OpenAI or similar GenAI platforms.
Understanding of RAG, embeddings, vector databases/vector search, and prompt engineering.
Knowledge of REST APIs and application integration.
Strong troubleshooting and problem-solving skills.

Preferred Skills

Experience with Azure AI Foundry and Azure AI services.
Knowledge of LangChain, LlamaIndex, or similar GenAI frameworks.
Experience with Azure Kubernetes Service (AKS).
Knowledge of MLflow, MLOps, and AI/ML deployment practices.
Experience implementing DevSecOps practices.
Knowledge of Azure Monitor, Application Insights, Log Analytics, and Key Vault.
Experience with automated testing and quality gates in CI/CD pipelines.
Familiarity with Agile/Scrum methodologies.

Education & Experience

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Strong hands-on experience with Python and Azure DevOps.
Experience working on GenAI/LLM-based projects is highly preferred.

Key Technologies

Work Location: Remote

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ml / llm engineer jobs in remote

Azure DevOps & GenAI Engineer

Senior Backend Developer

Tech Lead – Full Stack (AI-First Mindset)

Azure DevOps / Python / Gen AI Engineer

Senior Technical Sales Engineer

Azure Devops, Python, Gen AI

Software Architect - Enterprise Java * Cloud-Native * AI-Augmented Development

AI/ML Architect

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