Artificial Intelligence Data Engineer

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-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 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.

• About EisnerAmper:

EisnerAmper is of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 5000 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms, and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, and investors who serve these clients.

• About EisnerAmper India:

EisnerAmper (India) Consultants Pvt. Ltd. (“EA India”) is a subsidiary of Eisner Advisory Group LLC (“EA Group”), which practices in an alternative practice structure with EisnerAmper LLP. EA India employees provide advisory services to clients of EA Group and audit services to clients of Eisner Amper LLP and comply with the professional standards applicable to each of EA India, EA Group and EisnerAmper LLP. EA India employees also provide operational services to EA Group and EisnerAmper LLP. The policies and procedures of EA India, including obligations of confidentiality and non-disclosure, apply to all services provided by EA India employees. All applicants are applying to positions for employment with EA India, and not EA Group or EisnerAmper LLP.

EA India opened its first office in Mumbai in 2007. Over the years, our India footprint has expanded to include offices in Bangalore, Hyderabad, and Ahmedabad. We are a culturally diverse pool of over 900 professionals supporting our global clientele from a range of startups to Fortune 500 entities.

Should you need any accommodations to complete this application please email: [email protected]

Preferred Location:

Mumbai

• 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