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Cloud-Native ML Engineer(Freelance | WFH)

Cloud-Native ML Engineer(Freelance | WFH)

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

BeGig

3 years

0 Lacs

india

Posted:4 days ago| Platform:

Apply

Skills Required

ml monitoring drift latency scalability kubernetes docker mlflow sagemaker vertex model deployment flexibility ai network

Work Mode

Remote

Job Type

Part Time

Job Description

About BeGig

BeGig connects companies with ML engineers who build models designed to run reliably in cloud-native environments.

Your Opportunity

Join BeGig as a Cloud-Native ML Engineer and deploy ML systems that scale, monitor, and recover like real production services.

Role Overview

As a Cloud-Native ML Engineer, you will:

Build ML pipelines optimized for cloud infrastructure.
Deploy and manage models using containers and orchestration.
Implement monitoring for drift, latency, and performance.
Collaborate with MLOps and platform teams.
Optimize cost and scalability of ML workloads.

Technical Requirements & Skills

Experience: 3+ years in ML or MLOps.
Tools: Kubernetes, Docker, MLflow, SageMaker, Vertex AI.
Languages: Python.
Concepts: CI/CD for ML, model lifecycle management.
Bonus: Experience with GPU workloads or large-scale inference.

What We’re Looking For

Engineer who treats ML like production software.
Strong infra + ML hybrid mindset.
Comfortable owning deployment and reliability.

Why Join Us?

Impact: Put ML into real-world production systems.
Flexibility: Cloud-native AI roles across startups and enterprises.
Network: Work with advanced ML and platform teams.

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Cloud-Native ML Engineer(Freelance | WFH)