Artificial Intelligence Data Engineer

EisnerAmper India; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Flexibility to manage your days

Recognition as a top workplace

Culture focused on innovation

Job summary

EisnerAmper India is seeking an experienced AI Engineer to join our EisnerAI team in Mumbai. This role involves deploying and optimizing AI solutions on Azure, collaborating with various teams to ensure reliability and scalability.

The ideal candidate will have a Bachelor’s degree in a technical field, with at least 3 years of experience in MLOps and AIOps. Join us and be part of a leading firm that values innovation and work/life balance.

Qualifications

• 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.

Responsibilities

• Deploy and monitor AI models across Azure services.
• Manage model upgrades with structured rollout and version control.
• Optimize performance and cost of inference infrastructure.
• Implement MLOps pipelines for continuous integration and deployment.

Skills

MLOps

AIOps

Azure services

AI model deployment

Performance optimization

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field

Tools

Azure ML

GitHub Actions

Data Lake

Azure DevOps

Job description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals.

Join the EisnerAI team, a fast-growing organization within EisnerAmper that is redefining how professional services harness the power of Artificial Intelligence. As an AI Engineer specializing in MLOps and AIOps, you will play a critical role in deploying, operating, and optimizing enterprise‑grade AI solutions built on Azure, collaborating closely with AI Developers, Product Owners, Governance leaders and Cloud Architects to ensure these systems are reliable, scalable, and cost‑effective across tax, audit, advisory, and client‑facing applications. This role goes beyond traditional DevOps—it’s about engineering AI into the fabric of enterprise operations, enabling secure, observable, and governed machine learning deployments that deliver real business impact.

What it Means to Work for EisnerAmper:

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry
• You will have the flexibility to manage your days in support of our commitment to work/life balance
• You will join a culture that has received multiple top “Places to Work” awards
  • We believe that great work is accomplished when cultures, ideas and experiences come together to create innovative solutions
  • We understand that embracing our differences is what unites us as a team and strengthens our foundation
  • Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

What Work You Will be Responsible For:

• 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.

Basic Qualifications:

• 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 with hands‑on experience with Azure ML, Synapse, Data Lake, App Services, Cosmos DB, and Azure AI Foundry

Preferred/Desired Qualifications:

• 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.

Preferred Location:

Mumbai