Senior AI/ML Operations Engineer

Jobgether • India

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior AI/ML Operations Engineer to ensure the reliability, availability, and performance of AI/ML services in production environments. The role involves defining and maintaining SLOs/SLIs, monitoring and mitigating model drift and system issues, and designing observability solutions. The ideal candidate will have strong experience in operating distributed systems, cloud platforms, and CI/CD pipelines.

Key Highlights

Own the reliability, availability, and performance of AI/ML services in production environments

Define and maintain SLOs/SLIs for AI systems

Monitor, detect, and mitigate model drift and system issues

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Key Responsibilities

Own the reliability, availability, and performance of AI/ML services in production environments

Define and maintain SLOs/SLIs for AI systems

Monitor, detect, and mitigate model drift and system issues

Design and implement observability solutions

Support deployment workflows for ML models

Operate and improve AI infrastructure components

Manage CI/CD pipelines and automation

Technical Skills Required

Kubernetes Google Cloud Platform Terraform Datadog Prometheus Grafana ELK stack Docker Python Machine learning lifecycle concepts LLM gateways Vector databases RAG systems

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Benefits & Perks

Competitive annual salary

Fully remote work

Comprehensive health, accident, and retirement benefits

Paid holidays, generous leave policies, and wellness programs

Job Description

This role sits at the intersection of AI, machine learning, and platform reliability, focusing on ensuring that production AI systems operate efficiently, securely, and at scale. You will be responsible for maintaining and improving the operational health of AI/ML-powered services running in production environments. The position involves working closely with data scientists, ML engineers, and platform teams to ensure smooth deployment, monitoring, and lifecycle management of AI models. You will play a key role in building observability, automation, and infrastructure that supports reliable AI delivery. The environment is highly collaborative and fast-evolving, with a strong emphasis on scalability, cost optimization, and production readiness. This is a hands-on engineering role where your work directly impacts the stability and performance of AI-driven products used at scale.

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