EisnerAmper India
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Mumbai · On-site · 3-5 Yrs · Oct 19
Accounting & Tax · 1001 to 5000 Employees · New York, US
EisnerAmper is one of the largest accounting and business advisory firms in the U.S. with nearly 4,500 employees including 450 partners across the world. With locations throughout the United States, India and Israel, and as a member of Allinial Global, EisnerAmper services clients worldwide.
Hiring: Engineering
What employees say
+ flexible timing good growth within organisation competitive salary maternity benefits beyond 6 months
− micro management high iteration of employees
More reviews on the company profile.
Interview experience · Assistant Designer
1. Initial Screening (Telephonic) The process began with a Telephonic Technical Screening. This stage focused on verifying core qualifications, discussing previous experience, and ensuring alignment with the fundamental
Average difficulty · Mumbai · 25 reports
More interview insightsJob description
Overview
Join the EisnerAI team, a fast-growing organization within EisnerAmper that is redefining how professional services harness the power of Artificial Intelligence.
Responsibilities
- 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
- 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.
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
- 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.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Senior, AI Engineering at EisnerAmper India?
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior, AI Engineering remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Senior, AI Engineering role at EisnerAmper India?
- This is a senior Senior, AI Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.