Client Technology- Ai Researcher jobs at Ey in India, Bengaluru

At EY, you’ll 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 we’re 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.

As an Automation Test Engineer, you will be accountable & responsible to perform automation expediency, suggest automation approaches, build automation framework, automate manual test cases, maintain and execute regression tests ensuring all automation needs are properly met and aligned to the customer expectation. The role demands expertise on automation tools like Selenium, Protractor. Candidate should have knowledge on TestNG and Cucumber BDD Frameworks to conduct automation testing on web and mobile applications. Should be expert in Java. Added advantage to have knowledge on vb scripting and pythonYour key responsibilities

Skills and attributes for success

• Framework Architecture development/enhancement
• Building Framework components and libraries
• Strong Experience in Automating Web Application Testing using Selenium Webdriver with TestNG Framework
• Strong knowledge on webservice automation using Rest Assured
• Strong knowledge on Protractor
• Knowledge on Mobile application testing using appium
• Designing & Implementing Test Automation Strategy
• Creating Automation Test Plan and getting approvals
• Automation Framework Design and Implementation
• Creating, Organizing, and managing Test Automation Resources
• Creating, Enhancing, debugging and Running Test Cases
• Providing Automation Test Estimations
• Organizing, monitoring defect management process
• Handling changes and conducting Regression Testing
• Finding solutions for Object Identification issues and error handling issues
• Generated Test Summary Reports
• Co-coordinating Test team members and Development team in order to resolve the issues
• Interacting with client-side people to solve issues and update status
• Able to lead team across geographies
• Actively take part in providing automation trainings in the company
• To qualify for the role, you must have

To qualify for the role, you must have

• BE/BTech/MCA/M.Sc
• 5-10 years of automation consulting experience across multiple platforms and varied domains
• At least 5 years of experience in any of the automation tools is a must – Selenium, UFT, Protractor

Ideally, you’ll also have

.

• Hands on experience in developing frameworks on selenium frameworks like TestNG, Cucumber, Appium, Rest Assured
• Created QA Strategy and automation approach from scratch, Articulates value, ROI of automation to clients. Experience in conducting proof-of-concepts and Tool selection Should have played the role of an individual contributor, interfacing with the clients and address their business needs
• Should have excellent communication skills & should be able to articulate concisely & clearly
• Should be ready to do an individual contributor as well as Team Leader role

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

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.

Generative AI – Application Developer (.NET)

Ever-increasing regulations require tax departments to gather, organize and study more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

Your key responsibilities

• Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/ platform development strategy.
• Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs.
• Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving.
• Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process.

Must-Have:

• Skilled in full-stack application development with .NET C#, REST Api, React or any other typescript based UI frameworks, SQL databases
• Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID etc.
• Containerisation – Docker, Azure container apps, Azure Kubernetes Services (AKS)
• No-SQL database such Cosmos or Mongo DB
• Working experience with source control such as git or TFVC
• CI/CD pipelines, Azure DevOps, GitHub Actions etc.
• Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc.
• Fundamental understanding of various types of Large Language Models (LLMs)
• Fundamental understanding of Retrieval Augment Generation (RAG) techniques
• Fundamental understanding of classical AI/ML
• Skilled in Advanced prompt engineering

Nice-to-Have:

• Awareness about various AI Agents/ Agentic workflow frameworks and SDKs
• Graph Database such as Neo4j
• Experience with M365 Copilot Studio
• Microsoft Azure AI-900/ AI-102 Certification

Behavioural Skills:

• Excellent learning ability.
• Strong communication skill.
• Flexibility to work both independently and as part of a larger team.
• Strong analytical skills and attention to detail.
• The ability to adapt your work style to work with both internal and client team members.

To qualify for the role, you must have

• Bachelor’s / master’s degree in software engineering / information technology / BE/ B.TECH
• An overall 5 – 9 years of experience.

Ideally, you’ll also have

• Thorough knowledge Tax or Finance Domain.
• Strong analytical skills and attention to detail.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY TAS practices globally with leading businesses across a range of industries

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.

Your key responsibilities

• Conducting the conception, design, blueprinting and implementation of Financial Accounting and Controlling solutions in the environment of the SAP ERP / S4 HANA / Central Finance system architecture
• Integrating further SAP applications and system such as e.g. Concur, Ariba, etc.
• Enabling the finance function of the future together with our clients, e.g. in the areas of corporate governance, business intelligence and optimized financial processes that reflect industry- and business-specific needs with the support of SAP technology
• Using modern technology platforms such as S/4 HANA Finance to provide transparent information on profitability, service delivery and cost management to our clients
• Reviewing and performing financial process optimization leveraging SAP Best Practices on SAP platforms
• Supporting experienced colleagues in the design, analysis and optimization of processes and introducing coworkers to SAP topics
• Developing our consulting practice and supporting in carrying out trainings as well as in publishing articles or presenting at conferences
• Using our interdisciplinary range of services to set-up holistic ERP solutions for our customers
• Being continuously trained on new SAP technologies with the opportunity to become SAP-certified

Skills and attributes for success

• A university degree in Economics, Industrial Engineering or Business Information Systems with excellent results
• At least 6 to 10 years of consulting experience with a focus on Finance, Accounting and Controlling
• End-2-End System implementation and transformation experience in SAP S/4HANA and/or SAP S/4 Central Finance at a leading company
• Good understanding of financial end-to-end processes such as Record-to-Report, Order-to-Cash, Source-to-Settle and/or knowledge in Accounts Payable, Accounts Receivable, General Ledger or Asset Accounting
• Experience in translating business concepts into IT designs with one or more ERP systems such as SAP FI/CO, S/4 HANA, S/4 HANA Cloud, Tagetik or Microsoft NAV
• Flexibility and willingness to travel
• As an international company, we require fluency in English and German or French

What we offer you

Click to find out more about our benefits and corporate social responsibility.

Consulting D&A ¬ SQL/TSQL + Power BI– Senior

As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets.

Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services.

Your key role and responsibilities

• Work as a Senior team member to contribute in various technical streams EY DnA implementation project.
• Client focused with good presentation, communication and relationship building skills.
• Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates
• Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations
• Exposure to BI and other visualisation tools in the market
• Building a quality culture
• Foster teamwork
• Participating in the organization-wide people initiatives

Skills and attributes for success

• BE/BTech/MCA/MBA with adequate industry experience
• Should be at least around 3-7 years of experience in Enterprise intelligence
• Ability to translate business requirements/mock-ups/blueprints into technical solutions
• Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor.
• Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI.
• Developing calculations in DAX which are accurate and performant on large datasets.
• Designing effective layouts using themes and report grids, working closely with our UX design team.
• Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story.
• Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc.
• Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance.
• Should have an understanding of various pricing tiers and differentiators between various Power BI licences.
• Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified.
• Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access.
• Knowledge of cloud computing, preferably on Azure.
• Strong DWH basics.
• Strong data modelling skills.
• Familiar with Agile and Waterfall SDLC process
• Should be at least 2+ years of experience in Enterprise intelligence
• Experience with relational databases and strong SQL and PL/SQL skills for querying data
• SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer)

Nice to have:

• Power BI Data Analyst Associate Certification
• Experience in design tools like Figma

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible rolewith challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

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.

Required Skills on Azure and Python

• Azure Services: Strong knowledge in Azure Web Services, Azure SQL
• Computer Vision: Image analysis, OCR, and facial recognition using Azure APIs.
• Text Analytics: Sentiment analysis, key phrase extraction, and language detection.
• Speech Services: Speech-to-text, text-to-speech, and speaker recognition.
• Language Understanding (LUIS): Building and training language models.
• Azure Bot Services: Integrating bots with cognitive capabilities.
• Azure AI Studio / OpenAI on Azure: Working with generative AI models.
• Security & Compliance: Managing keys, endpoints, and access control.
• Core Python: Data structures, OOP, exception handling.
• API Integration: Consuming REST APIs (e.g., Azure SDKs).
• Data Processing: Using pandas, NumPy, and json for data manipulation.
• AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs.

Required Skills on React

• Component-Based Architecture: Building reusable functional components.
• Hooks: useState, useEffect, useContext, and custom hooks.
• State Management: Context API, Redux Toolkit, or Zustand.
• API Integration: Fetching and displaying data from Azure services.

Soft Skills

• Excellent Communication Skills
• Team Player
• Self-starter and highly motivated
• Ability to handle high pressure and fast paced situations
• Excellent presentation skills
• Ability to work with globally distributed teams

Roles and Responsibilities:

• Understand existing application architecture and solution design
• Design individual components and develop the components
• Work with other architects, leads, team members in an agile scrum environment
• Hands on development
• Design and develop applications that can be hosted on Azure cloud
• Design and develop framework and core functionality
• Identify the gaps and come up with working solutions
• Understand enterprise application design framework and processes
• Lead or Mentor junior and/or mid-level developers
• Review code and establish best practices
• Look out for latest technologies and match up with EY use case and solve business problems efficiently
• Ability to look at the big picture
• Proven experience in designing highly secured and scalable web applications on Azure cloud
• Keep management up to date with the progress
• Work under Agile design, development framework
• Good hands on development experience required

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.

Role Overview:

We are seeking a highly skilled and experiencedwith a minimum of 4 years of experience in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and Agentic AI solution Architecture. In 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 Agents, workflows and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Key Responsibilities:

• Design and implement state-of-the-art Agentic AI solutions tailored for the financial and accounting industry.
• Develop and implement AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges.
• Collaborate with stakeholders to identify business opportunities and define AI project goals within the financial and accounting sectors.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, Agents and evaluate their potential applications in financial and accounting contexts.
• Utilize generative AI techniques, such as LLMs and Agentic Framework, to develop innovative solutions for financial and accounting 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.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• 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.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for financial and accounting use cases.
• 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.

Qualifications & Skills:

• Education – Bachelor’s/Master’s in Computer Science, Engineering, or related field (Ph.D. preferred).
• Experience – 4+ years in Data Science/Machine Learning with proven end-to-end project delivery.
• Technical Expertise – Strong in ML, deep learning, generative AI, RAG, and agentic AI design patterns.
• Programming Skills – Proficient in Python (plus R), with hands-on experience in TensorFlow, PyTorch, and modern ML/data stacks.
• GenAI Frameworks – Experience with LangChain, LangGraph, Crew, and other agentic AI frameworks.
• Cloud & Infrastructure – Skilled in AWS/Azure/GCP, containerization (Docker, Kubernetes), automation (CI/CD), and data/ML pipelines.
• Data Engineering – Expertise in data curation, preprocessing, feature engineering, and handling large-scale datasets.
• AI Governance – Knowledge of responsible AI, including fairness, transparency, privacy, and security.
• Collaboration & Communication – Strong cross-functional leadership with ability to align technical work to business goals and communicate insights clearly.
• Innovation & Thought Leadership – Track record of driving innovation, staying updated with latest AI/LLM advancements, and advocating best practices.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Deep knowledge of classical AIML (regression, classification, time series, clustering).
• Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models.
• 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.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Job Title: ML Ops Specialist - Senior

3-7 years

Key Responsibilities:

• Design, implement, and manage ML Ops pipelines to streamline the deployment and monitoring of machine learning models in production.
• Collaborate with data scientists and engineers to ensure smooth integration of ML models into existing systems and workflows.
• Utilize Azure services for deploying, managing, and scaling machine learning applications and infrastructure.
• Monitor model performance and implement strategies for continuous improvement and optimization.
• Develop and maintain documentation for ML Ops processes, workflows, and best practices.
• Implement AI Ops practices to enhance operational efficiency and reliability of AI systems.
• Troubleshoot and resolve issues related to model deployment, performance, and data quality.
• Stay updated on industry trends and advancements in ML Ops and AI Ops, recommending best practices for implementation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3-7 years of experience in ML Ops and AI Ops, preferably in the banking and insurance sectors.
• Proficiency in programming languages such as Python or R, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of Azure services related to machine learning (e.g., Azure Machine Learning, Azure DevOps).
• Experience with CI/CD practices for machine learning model deployment.
• Excellent analytical and problem-solving skills, with a focus on delivering reliable AI solutions.
• Strong communication skills and the ability to work effectively in a collaborative environment.

Preferred Skills:

• Familiarity with containerization technologies (e.g., Docker, Kubernetes) for deploying ML models.
• Knowledge of data governance and compliance standards in the banking and insurance sectors.
• Experience with monitoring and logging tools for AI systems.

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.