Senior Backend / MLOps Engineer (Remote, Freelance/Part-time)

grades buddy • India
Remote
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AI Summary

GradesBuddy seeks a Senior Backend/MLOps Engineer to build and maintain Go microservices for ML APIs. Responsibilities include deploying on AWS/Kubernetes, managing production AI/ML systems, and collaborating with ML engineers. Requires 5+ years of backend experience, Golang expertise, and AWS/Kubernetes proficiency.

Key Highlights
Build and maintain Golang microservices for ML APIs
Deploy and manage services on AWS and Kubernetes
Support production AI/ML systems at scale
Key Responsibilities
Build and maintain Golang microservices for ML APIs
Deploy and manage services on AWS and Kubernetes
Collaborate with ML engineers to productionize Python-based models
Work with messaging systems like Kafka, NATS, or SQS
Use ML tools like MLflow for model lifecycle management
Ensure scalability, reliability, and cloud-native performance
Technical Skills Required
Golang AWS Kubernetes Kafka NATS SQS Python MLflow
Benefits & Perks
Fully remote
Flexible working hours

Job Description


Hiring: Senior Backend / MLOps Engineer (Remote | Freelance / Part-time)


Company: GradesBuddy


About Us

GradesBuddy is a global academic and technical solutions platform working across AI, cloud, and enterprise systems. We collaborate with experts worldwide to deliver real-world, industry-level solutions.

We are expanding our AI & Cloud Engineering Division and looking for experienced engineers to support scalable ML systems.


Role Overview

Senior Backend / MLOps Engineer — responsible for building and maintaining Go-based microservices that serve ML models, managing AWS and Kubernetes deployments, and supporting production AI/ML systems at scale.


Key Responsibilities

• Build and maintain Golang microservices for ML APIs

• Deploy and manage services on AWS and Kubernetes

• Collaborate with ML engineers to productionize Python-based models

• Work with messaging systems like Kafka, NATS, or SQS

• Use ML tools like MLflow for model lifecycle management

• Ensure scalability, reliability, and cloud-native performance


Required Skills

• 5+ years backend engineering experience

• Strong expertise in Golang (Go)

• Hands-on experience with AWS and Kubernetes

• Understanding of microservices architecture

• Experience with Kafka, NATS, or SQS

• Working knowledge of Python for ML systems

• Familiarity with ML deployment frameworks or MLflow


Payout and Benefits

• Project-based, experience-based compensation

• Fully remote

• Flexible working hours

• Opportunity to work on international AI/ML projects


How to Apply

Send your CV and project details on WhatsApp: +91 9508569164

Mention: Application – Backend / MLOps Engineer

  • Serious applicants with real production experience preferred

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