Design, build, and operationalize scalable AI/ML solutions using Azure AI Foundry, Vertex AI, and Kubernetes. Implement end-to-end MLOps pipelines with CI/CD workflows and model lifecycle management. Collaborate with stakeholders to deliver secure, high-performance AI services across cloud ecosystems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
We are seeking a highly skilled Cloud AI Infrastructure & MLOps Engineer to design, build, and operationalize scalable AI/ML solutions. This role blends AI engineering, cloud integration, and MLOps expertise to deliver intelligent, enterprise-grade systems.
You’ll work at the intersection of AI innovation and cloud-native architecture, leveraging platforms like Azure AI Foundry, Vertex AI, and Kubernetes to drive impactful, production-ready solutions
.
🔧 Key Responsibiliti
- es
Architect and implement AI/ML solutions usi - ng:Azure AI Foundry, Azure Machine Learn
- ingAzure OpenAI, Cognitive Services, Document Intellige
- nceBuild end-to-end MLOps pipelines usi
- ng:Azure ML, MLflow, Azure DevOps, GitHub Acti
- onsCI/CD workflows and Azure Kubernetes (A
- KS)Design scalable AI systems wi
- th:Model versioning, lifecycle governance, reproducibility, and audit
- ingDevelop automation pipelines f
- or:Model training, validation, deployment, and monitor
- ingApply advanced AI engineering practic
- es:RAG (Retrieval-Augmented Generati
- on)MCP server deploym
- entLangChain and LangGraph framewo
- rksWork closely with stakeholders
- to:Translate data insights into production-ready AI servi
- cesBuild and manage integration workflows usi
- ng:Azure Integration Services (Logic Apps, Functions, API Management, Service Bus, Event Gr
- id)Ensu
- re:Secure, resilient, and high-performance integrations across enterprise syst
- emsImplement Infrastructure-as-Code (Ia
- C):Terraform, ARM, Bi
- cepMonitor and optimize AI solutions usi
- ng:Azure Monitor, Log Analytics, Application Insig
- htsDeploy AI solutions across cloud ecosyste
- ms:Azure, Google Cloud (Vertex AI, BigQuery), or AWS AI servi
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
ces
✅ Required Skills & Experi
- ence
Strong hands-on experience - with:Azure AI/ML services and MLOps frame
- worksKubernetes (AKS/GKE) and cloud-native architec
- turesExperience
- with:CI/CD pipelines, MLflow, and model lifecycle manag
- ementLangChain, LangGraph, and RAG-based architec
- turesSolid understandin
- g of:Cloud integration services and event-driven architec
- turesExposure to multi-cloud AI platf
- orms:Azure, GCP (Vertex AI), o
- r AWSProficienc
- y in:Infrastructure automation (Terraform/Bicep
- /ARM)Excellent English communication skills both written and s
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
poken
🌱 Why Jo
- in Us?Competitive hourly pa
- y rateFull remote work flexi
- bilityWork with cutting-edge technologies in a dynamic, collaborativ
- e teamIndependent contractor
- modelAccess to 500+ lifelong learning courses and development opportu
- nitiesFast-track leadership growth paths for senior profess
- ionalsOpen-door policy with a global, inclusive team c
Similar Jobs
Explore other opportunities that match your interests
Senior MLOps Engineer
BairesDev
Adastra
