Ml DevOps

1 week ago

Pune, India Juppiter AI Labs Full time

**JOB DESCRIPTION-**
- Deployment of ML models using containerization (mainly on Computer Vision and Prediction Model projects)
- Designing + Reviewing the system design flow
- Multiple Service configuration using auto scale up features
- AWS tech stack optimization in terms of resources and costing
- Recommendations for the full stack and backend devs

**SKILLS-**
- AWS Tech stack (aws cli)
- Containerization (Docker & Kubernetes)
- Load Balancer
- Backend Management (for ex. Database, API, AWS optimization)
- AWS Sage maker / Lambda for ML model deployment
- Serverless Tech stack
- Auto scale up configuration

**GOOD TO HAVE-**
- Database - PostgreSQL, Influx dB, MySQL, MongoDB
- Django basics
- Past projects with serverless aws configuration
- Scaled projects
- Terraform like tools
- Basics of AI models

**Job Type**: Freelance

**Salary**: ₹30,000.00 - ₹40,000.00 per month

Schedule:

- Morning shift

Application Question(s):

- Work Timmings are 7:30am-2:30pm, Is it fine for you?

**Experience**:

- total work: 3 years (required)
- AWS Sage Maker: 2 years (required)
- Machine learning: 3 years (required)
- Docker: 3 years (required)
- Kubernetes: 2 years (required)
- DevOps: 3 years (required)
- Deployment of ML models using containerization: 3 years (required)

Shift availability:

- Day Shift (required)

**Speak with the employer**

+91-XXXXXXXXXX

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