We are looking for an experienced Machine Learning Engineer / MLOps Expert with strong expertise in ML lifecycle management cloud AI platforms CI/CD automation and production-grade AI deployments.
Requirements
Strong hands-on experience in Machine Learning Operations (MLOps)
ML Pipeline Development & Automation
Model Deployment using Docker & FastAPI
Experience with AWS and Multi-Cloud environments
MLFlow (Mandatory)
Apache Airflow (Mandatory)
CI/CD using GitHub Actions or similar tools
Model Registry Versioning & Lifecycle Management
Batch & Real-time Inference
Model Monitoring Drift Detection & Performance Optimization
Experience with Machine Learning frameworks
Strong Python programming skills
Excellent analytical troubleshooting and stakeholder management skills
Required Skills:
Strong hands-on experience in Machine Learning Operations (MLOps) ML Pipeline Development & Automation Model Deployment using Docker & FastAPI Experience with AWS and Multi-Cloud environments MLFlow (Mandatory) Apache Airflow (Mandatory) CI/CD using GitHub Actions or similar tools Model Registry Versioning & Lifecycle Management Batch & Real-time Inference Model Monitoring Drift Detection & Performance Optimization Experience with Machine Learning frameworks Strong Python programming skills Excellent analytical troubleshooting and stakeholder management skills
Hiring Alert Machine Learning Engineer / MLOps Expert Location: Bangalore Role: AI / ML Engineer (MLOps) Experience: 812 Years CTC: Up to 23 LPA Role Level: Team Lead / Consultant Work Mode: Work From OfficeWe are looking for an experienced Machine Learning Engineer / MLOps Expert with strong expe...
We are looking for an experienced Machine Learning Engineer / MLOps Expert with strong expertise in ML lifecycle management cloud AI platforms CI/CD automation and production-grade AI deployments.
Requirements
Strong hands-on experience in Machine Learning Operations (MLOps)
ML Pipeline Development & Automation
Model Deployment using Docker & FastAPI
Experience with AWS and Multi-Cloud environments
MLFlow (Mandatory)
Apache Airflow (Mandatory)
CI/CD using GitHub Actions or similar tools
Model Registry Versioning & Lifecycle Management
Batch & Real-time Inference
Model Monitoring Drift Detection & Performance Optimization
Experience with Machine Learning frameworks
Strong Python programming skills
Excellent analytical troubleshooting and stakeholder management skills
Required Skills:
Strong hands-on experience in Machine Learning Operations (MLOps) ML Pipeline Development & Automation Model Deployment using Docker & FastAPI Experience with AWS and Multi-Cloud environments MLFlow (Mandatory) Apache Airflow (Mandatory) CI/CD using GitHub Actions or similar tools Model Registry Versioning & Lifecycle Management Batch & Real-time Inference Model Monitoring Drift Detection & Performance Optimization Experience with Machine Learning frameworks Strong Python programming skills Excellent analytical troubleshooting and stakeholder management skills
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