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Engaged Employer

Ernst & Young

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3.5

based on 9.9k Reviews

2042 Ernst & Young Jobs

New-Digital-Senior

Ernst Young

3.5

based on 9.9k Reviews

3-5 years

Kolkata

1 vacancy

New-Digital-Senior

Ernst & Young

posted 14d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Quality Assurance Consulting SQL Business Analytics Project Management

+ 4 more

Job Description

As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products.

You will be helping EY s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients.

This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda.

Requirements (including experience, skills, and additional qualifications)

Responsibilities

Convert business problem into analytical problem and devise a solution approach.
Clean, aggregate, analyze and interpret the data to derive business insights from it.
Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management.
Work closely with the Solution Architects in deployment of the AI POC s and scaling up to production level applications.
Should have solid background in Python and has deployed on open-source models-
Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison.

Key Requirements/Skills & Qualification:

Excellent academic background, including at a minimum a bachelor or a master s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments.
Solid background in Python with excellent coding skills.
4+ years of core data science experience in one or more below areas:
Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering)
Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index.
Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets.
Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models)
Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence
Computer Vision- Image Classification, Object Detection, Tracking etc.
SQL/NoSQL Databases and its manipulation components
Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes.

Additional skills requirements:

Excellent written, oral, presentation and facilitation skills
Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization,
organization, flexibility, and self-discipline.
Must have demonstrated project management experience.
Knowledge of firm s reporting tools and processes.
Proactive, organized, and self-sufficient with ability to priorities and multitask.
Analyses complex or unusual problems and can deliver insightful and pragmatic solutions.
Ability to quickly and easily create/ gather/ analyze data from a variety of sources.
A robust and resilient disposition able to encourage discipline in team behaviors