Developer, AI Engineering

Overview

EisnerAI is seeking an AI Engineer specializing in MLOps and AIOps to deploy, operate and optimize enterprise-grade AI solutions built on Azure across tax, audit, advisory and client-facing applications.

What you'll do

• Deploy and monitor AI models across Azure services with robust telemetry for performance, drift, and availability.
• Manage model upgrades including APIs and UIs with structured rollout, version control, and rollback support.
• Optimize performance and cost through testing, profiling, and tuning of inference infrastructure and pipelines.
• Implement MLOps pipelines for continuous integration, deployment, and lifecycle management using Azure ML and GitHub Actions.
• Ensure compliant change management for all AI-related deployments, with auditability, security, and governance controls.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field.
• 3+ years in MLOps and/or AIOps, ideally within Azure cloud environment.
• Hands-on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry.

Nice to have

• Consulting background with a strong bias for action.
• Workflow Design: Prompt flow, automation pipelines, and human-in-the-loop systems.
• Post-Training Techniques: Fine-tuning, instruction tuning, RLHF, and domain adaptation.
• Azure DevOps, App Insights, Log Analytics, Key Vault, and Managed Identity integration.
• Tools for inference performance testing and profiling (e.g., locust, K6, or custom scripts).
• Model Evaluation: Performance metrics, benchmark development, and A/B testing frameworks.
• Understanding of model observability, telemetry, and incident response for AI systems.

Details

• Location: Mumbai.