I will build mlops pipelines with azure ai, aws sagemaker, bedrock, cloud devops
Senior DevOps, Cloud and Automation Engineer AWS Azure GCP n8n Make
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
AI models only create impact when they reach production. I help SaaS founders, AI startups, and agencies deploy models reliably using Azure AI, AWS SageMaker, Bedrock, and modern MLOps automation.
You get an end to end pipeline that supports training, versioning, monitoring, and secure cloud deployment all built using real DevOps and cloud engineering best practices.
I combine DevOps + AI Engineering + Cloud Automation to create fast, scalable, and cost-optimized AI systems that grow with your product.
What I Deliver
Azure AI / Azure Machine Learning pipelines
AWS SageMaker training, endpoints, model registry
Bedrock model deployment + multi-agent orchestration
AI agent deployment (OpenAI, Azure OpenAI, Claude, Bedrock)
CI/CD for ML (GitHub Actions, GitLab CI, Jenkins)
Data integration (S3, Azure Blob, DynamoDB, Postgres)
Monitoring dashboards (CloudWatch, Grafana, Prometheus)
Why Clients Choose Me
Hands-on experience with Azure AI Studio, SageMaker, Bedrock & OpenAI
Built 60% faster ML release cycles for SaaS platforms
Perfect fit for SaaS founders, AI startups, and agencies
Your AI deserves production-grade engineering and I make that happen.
Cloud provider:
Microsoft Azure
Expertise:
Installation
•
Backup
•
Migration
•
Configuration
My Portfolio
FAQ
Can you deploy LLMs or agents (OpenAI, Azure, Bedrock)?
Yes I deploy agents, embeddings, RAG systems, and scalable inference infra.
Do you support GPU setups?
Yes Azure ML Compute, SageMaker GPU instances, Lambda Labs, or custom GPU.
Can you migrate my existing ML pipeline?
Absolutely I can refactor, optimize, or fully rebuild your pipeline.
Can you integrate my SaaS product with the MLOps pipeline?
Yes API gateways, microservices, webhooks, queues, or event driven triggers.

