Support production ML systems by building and maintaining backend services that deploy and serve machine learning models. Develop Go microservices, support Python-based ML models, and manage AWS + Kubernetes deployments. Ensure scalable and reliable architecture.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Company: GradesBuddy
Role Type: Remote | Freelance / Part-time | Project-Based (Pay experience-based)
Target Applicants: Backend engineers, MLOps engineers, Go developers, cloud engineers, AI/ML platform engineers, Kubernetes specialists
About GradesBuddy
GradesBuddy is a global academic and technical solutions platform collaborating with experts across engineering, AI, cloud computing, enterprise software, and analytics.
We support learners and professionals worldwide with guidance on advanced technologies, real-world projects, and industry-level technical solutions.
We are expanding our AI & Cloud Engineering Division and looking for experienced engineers to support scalable AI/ML backend systems and cloud-native deployments.
Role Overview
The Senior Backend / MLOps Engineer will support production ML systems by building and maintaining backend services that deploy and serve machine learning models.
The role involves developing Go microservices, supporting Python-based ML models, and managing AWS + Kubernetes deployments while ensuring scalable and reliable architecture.
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Key Responsibilities
Build and maintain Go-based microservices for ML APIs
Support AWS and Kubernetes deployments
Collaborate with ML engineers to deploy Python models
Work with messaging systems like Kafka, NATS, or SQS
Support ML deployment tools such as MLflow
Provide structured technical documentation and guidance
Required Skills
Strong experience with Go (Golang)
Experience with AWS and Kubernetes
Knowledge of Python for ML environments
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Understanding of microservices architecture
Experience with Kafka / NATS / SQS messaging systems
Familiarity with ML deployment frameworks or MLflow
Payout and Benefits
Project-based compensation based on expertise
Fully remote work
Flexible hours
Opportunity to work on international AI/ML projects
How to Apply
Share your CV + sample backend/AI projects on WhatsApp:+91 9508569164
Please mention: Application – Backend / MLOps Engineer
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