IN_Senior Associate_Aws devops_Data & Analytics_Advisory_Kolkata
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Automate ML workflow deployments
- Build CI/CD pipelines for machine learning
- Collaborate with data scientists to optimize models for production
- Deploy machine learning models to production APIs
- Implement LLM fine tuning and deployment pipelines
- Monitor model performance data drift and latency
- Operationalize SageMaker models for real time inference
- Provision and manage AWS infrastructure
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | AWS Lambda | Amazon Bedrock | Amazon EC2 | Amazon Elastic Kubernetes Service | Amazon SageMaker | Amazon Simple Storage Service | Amazon Web Services | Continuous Deployment | Continuous integration | Data Drift | Data drift monitoring | Drift monitoring | Elastic Kubernetes Service | Infrastructure as Code | Kubernetes Service | Langchain | Language Model | Large Language Model | Latency monitoring | Learning operations | Machine Learning | Machine Learning Operations | Model Monitoring | Simple Storage Service | Storage Service | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Technology | Master of Business Administration | Master of Engineering | Master of Science
Roles
Cloud Engineer | Cloud) | Data Engineer | DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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