ML Cloud DevOps Engineer Job (Remote)

ML Cloud DevOps Engineer

Work from home

Start date
Starts Immediately
CTC (ANNUAL)
₹ 2,00,000 - 3,00,000 ₹ 2,00,000 - 3,00,000 /year
Experience
1-5 years
1-5 years experience
Apply By
10 Oct' 24
Posted 3 weeks ago
Job

About the job

Key Responsibilities:

1. Design and implement CI/CD pipelines for machine learning models and applications.
2. Deploy and manage code on AWS, utilizing services like EC2, S3, Lambda, and SageMaker.
3. Containerize applications using Docker and orchestrate with Kubernetes.
4. Collaborate with data scientists and engineers to streamline the deployment and scaling of ML models.
5. Monitor and optimize the performance of deployed systems.

Skill(s) required

Amazon Web Server (AWS) CI/CD Docker Kubernetes Python React React Native Redis Redux SQL
Earn certifications in these skills

Who can apply

1. Candidates with minimum 1 years of experience.

Other requirements

1. Proficiency in Python programming and scripting.

2. Experience with Docker and Kubernetes in production environments.

3. Strong understanding of AWS services related to deployment and scalability.

4. Familiarity with machine learning concepts and frameworks.

5. Excellent problem-solving and communication skills.

Salary

Annual CTC: ₹ 2,00,000 - 3,00,000 /year

Number of openings

2

About Hubnine India Private Limited

Hubnine is a data driven software company leveraging modern AI/ML tools to improve outcomes for our clients.
Activity on Internshala
Hiring since August 2020
73 opportunities posted
3 candidates hired
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