AI Production SRE

Position: AI Production SRE

Experience: 8+ Years

Location: Bangalore

Job Type: Fulltime - Remote / Hybrid

Budget: 35 - 40LPA

Role Overview

We are looking for an AI Production Support Engineer to support and operate AI/ML solutions within a regulated banking setting. The role focuses on ensuring high availability, resilience, compliance, and risk management of AI systems that support critical banking services.

Key Responsibilities

Provide L2/L3 production support for AI/ML models and data pipelines used in banking systems.

Monitor model performance, drift, data quality, and operational health of AI services.

Ensure stability and uptime of AI platforms supporting customer-facing and regulatory workloads.

Perform incident management, root cause analysis (RCA), and problem management in line with ITIL practices.

Collaborate with Data Science, Engineering, Risk, and Compliance teams.

Support secure deployment, release, and rollback of AI/ML models in production.

Implement monitoring, alerting, and audit logging to meet regulatory and audit requirements.

Ensure adherence to data privacy, governance, and financial regulatory standards (e.g., GDPR, model risk frameworks).

Support disaster recovery (DR) and business continuity (BCP) plans for AI workloads.

Identify opportunities for automation, operational efficiency, and cost optimization.

Required Skills & Experience

Cloud & AI Platforms

AWS SageMaker

Amazon EC2

Amazon EKS (Elastic Kubernetes Service)

AWS Lambda

Amazon S3

Amazon CloudWatch

MLOps & Model Management

SageMaker Pipelines

MLflow

Model Registry

Model Deployment Frameworks

Containerization & Orchestration

Docker

Kubernetes (EKS)





Monitoring & Observability

AWS CloudWatch

AWS CloudTrail

Prometheus

Grafana

OpenTelemetry

CI/CD & DevOps

AWS CodePipeline

AWS CodeBuild

AWS CodeDeploy

Jenkins

GitHub Actions

Data & Integration

AWS Glue

Amazon Kinesis

Amazon EventBridge

REST APIs

SQL / NoSQL (Amazon RDS, DynamoDB)

Security & Identity

IAM

AWS KMS

AWS Secrets Manager

VPC Security (Subnets, NACLs, Security Groups)

Resilience & Backup

AWS Backup

Cross-Region Replication

Disaster Recovery (Multi-AZ / Multi-Region)

Additional Requirements

Experience in Production Support, SRE, or Platform Engineering, preferably in Banking or Financial Services.

Strong understanding of the AI/ML lifecycle and MLOps.

Experience with cloud platforms (Azure preferred in banking), including secure workloads.

Proficiency in Python and scripting for debugging and automation.

Hands-on experience with Docker, Kubernetes, and Microservices architecture.

Familiarity with MLOps tools such as MLflow, Azure ML, or SageMaker.

Experience with monitoring and observability tools including CloudWatch, Splunk, Grafana, and Prometheus.

Knowledge of data pipelines, APIs, batch, and real-time processing systems.

Experience with incident management tools such as ServiceNow.

Understanding of Model Risk Management (MRM) and audit expectations.

Awareness of data governance, lineage, and controls.

Familiarity with security standards and Identity & Access Management (IAM).

Nice to Have

Exposure to AI governance frameworks and explainability tools.

Experience with fraud detection, credit risk, or financial analytics models.

Knowledge of DevSecOps practices.

AWS and MLOps certifications.

📌 AI Production SRE (India)
🏢 Sourcebae
📍 India