EY GDS Consulting AI Enabled Automation AI Engineer Staff

Delhi - India

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

At EY youll have the chance to build a career as unique as you are with the global scale support inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself and a better working world for all.

AI Engineer

Role Overview:

We are seeking a highly skilled and experienced AI Engineers with a minimum of 2 years of experience in Data Science and Machine Learning preferably with experience in NLP Generative AI LLMs MLOps Optimization techniques and AI solution this role you will play a key role in the development and implementation of AI solutions leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally expertise in data engineering DevOps and MLOps practices will be valuable in this role.

Your technical responsibilities:

Assist in the development and implementation of AI models and systems leveraging techniques such as Large Language Models (LLMs) and generative AI.
Design develop and maintain efficient reusable and reliable Python code
Stay updated with the latest advancements in generative AI techniques such as LLMs and evaluate their potential applications in solving enterprise challenges.
Utilize generative AI techniques such as LLMs Agentic Framework to develop innovative solutions for enterprise industry use cases.
Integrate with relevant APIs and libraries such as Azure Open AI GPT models and Hugging Face Transformers to leverage pre-trained models and enhance generative AI capabilities.
Utilize vector databases such as Redis and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
Ensure compliance with data privacy security and ethical considerations in AI applications.
Leverage data engineering skills to curate clean and preprocess large-scale datasets for generative AI applications.
Write unit tests and conduct code reviews to ensure high-quality bug-free software.
Troubleshoot and debug applications to optimize performance and fix issues.
Work with databases (SQL NoSQL) and integrate third-party APIs.

Requirements:

Bachelors or Masters degree in Computer Science Engineering or a related field.
Minimum 2 years of experience in Python Data Science Machine Learning OCR and document intelligence
In-depth knowledge of machine learning deep learning and generative AI techniques.
Proficiency in programming languages such as Python R and frameworks like TensorFlow or PyTorch.
Strong understanding of NLP techniques and frameworks such as BERT GPT or Transformer models.
Familiarity with computer vision techniques for image recognition object detection or image generation.
Strong knowledge of Python frameworks such as Django Flask or FastAPI.
Experience with RESTful API design and development.
Experience with cloud platforms such as Azure AWS or GCP and deploying AI solutions in a cloud environment.
Expertise in data engineering including data curation cleaning and preprocessing.
Excellent problem-solving and analytical skills with the ability to translate business requirements into technical solutions.
Strong communication and interpersonal skills with the ability to collaborate effectively with stakeholders at various levels.
Understanding of data privacy security and ethical considerations in AI applications.

Good to Have Skills:

Understanding of agentic AI concepts and frameworks
Proficiency in designing or interacting with agent-based AI architectures
Apply trusted AI practices to ensure fairness transparency and accountability in AI models and systems.
Utilize optimization tools and techniques including MIP (Mixed Integer Programming).
Implement CI/CD pipelines for streamlined model deployment and scaling processes.
Utilize tools such as Docker Kubernetes and Git to build and manage AI pipelines.
Apply infrastructure as code (IaC) principles employing tools like Terraform or CloudFormation.
Implement monitoring and logging tools to ensure AI model performance and reliability.

EY Building a better working world

EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.

AI Engineer

Role Overview:

Your technical responsibilities:

Assist in the development and implementation of AI models and systems leveraging techniques such as Large Language Models (LLMs) and generative AI.
Design develop and maintain efficient reusable and reliable Python code
Stay updated with the latest advancements in generative AI techniques such as LLMs and evaluate their potential applications in solving enterprise challenges.
Utilize generative AI techniques such as LLMs Agentic Framework to develop innovative solutions for enterprise industry use cases.
Integrate with relevant APIs and libraries such as Azure Open AI GPT models and Hugging Face Transformers to leverage pre-trained models and enhance generative AI capabilities.
Utilize vector databases such as Redis and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
Ensure compliance with data privacy security and ethical considerations in AI applications.
Leverage data engineering skills to curate clean and preprocess large-scale datasets for generative AI applications.
Write unit tests and conduct code reviews to ensure high-quality bug-free software.
Troubleshoot and debug applications to optimize performance and fix issues.
Work with databases (SQL NoSQL) and integrate third-party APIs.

Requirements:

Bachelors or Masters degree in Computer Science Engineering or a related field.
Minimum 2 years of experience in Python Data Science Machine Learning OCR and document intelligence
In-depth knowledge of machine learning deep learning and generative AI techniques.
Proficiency in programming languages such as Python R and frameworks like TensorFlow or PyTorch.
Strong understanding of NLP techniques and frameworks such as BERT GPT or Transformer models.
Familiarity with computer vision techniques for image recognition object detection or image generation.
Strong knowledge of Python frameworks such as Django Flask or FastAPI.
Experience with RESTful API design and development.
Experience with cloud platforms such as Azure AWS or GCP and deploying AI solutions in a cloud environment.
Expertise in data engineering including data curation cleaning and preprocessing.
Excellent problem-solving and analytical skills with the ability to translate business requirements into technical solutions.
Strong communication and interpersonal skills with the ability to collaborate effectively with stakeholders at various levels.
Understanding of data privacy security and ethical considerations in AI applications.

Good to Have Skills:

Understanding of agentic AI concepts and frameworks
Proficiency in designing or interacting with agent-based AI architectures
Apply trusted AI practices to ensure fairness transparency and accountability in AI models and systems.
Utilize optimization tools and techniques including MIP (Mixed Integer Programming).
Implement CI/CD pipelines for streamlined model deployment and scaling processes.
Utilize tools such as Docker Kubernetes and Git to build and manage AI pipelines.
Apply infrastructure as code (IaC) principles employing tools like Terraform or CloudFormation.
Implement monitoring and logging tools to ensure AI model performance and reliability.

EY Building a better working world

EY exists to build a better working world helping to create long-term value for clients people and society and build trust in the capital markets.

Enabled by data and technology diverse EY teams in over 150 countries provide trust through assurance and help clients grow transform and operate.

Working across assurance consulting law strategy tax and transactions EY teams ask better questions to find new answers for the complex issues facing our world today.

Key Skills

Compliance Management
Customer Retention
Quality Assurance
Customer Service
Extensive Knowledge
Account Management
Front Office
Telephone Calls
Needs Analysis
Cold calls
Business Relationships
Customer Complaints
Sales Goals
Sales Process
New Clients

Apply Now

About Company

EY Studio+ Nederland

Bij EY Studio+ creëren we transformatieve ervaringen die mensen in beweging brengen en markten vormgeven. We combineren design, technologie en commercieel inzicht, aangevuld met EY.ai, een verenigend platform en aangedreven door ons volledige spectrum van diensten.

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