Customer-ai Automation-architect jobs at Ey in India, Coimbatore

Objectives and Purpose

• The Lead Data Scientist is responsible for applying expertise and best practices in full-stack data science capabilities including advanced data analytics, statistical modeling (AI/ML), MLOps, data engineering, and data visualization to develop data-driven solutions to enable business insights. This individual partners closely with Business Unit Leaders to model complex problems, derive analytical conclusions, and identify opportunities for improvement.
• The Lead Data Scientist will:
• • Apply strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
  • Translate processes and requirements into analytical solutions and metrics, that can contribute towards data-driven solutions and strategies for the business.
  • Develop user friendly analytical models for the business to provide data driven actionable insights which would enable a more informed decision-making.

Data Science

• Develop customer-centric solutions with recommended data model and business intelligence (BI) technologies.
• Create repeatable, interpretable, dynamic, and scalable statistical models that are seamlessly incorporated into analytic data products, ability to discover correlations between variables and generate predictions/forecasts of data-driven decisions.
• Extract, transform, and load data from one data source (e.g., Databricks) into a single, consistent data source for data modelling and workflow orchestration purposes (i.e., representations of data flows and relationships).
• Advocate and educate on the value of data-driven decision making with focus on “how and why” of solving problems.
• Oversee forecasting models that process and analyze large quantities of data to identify key trends and business insights.
• Review and refine data visualizations that are detailed, clear, multi-faceted, and user-focused to effectively communicate data insights throughout a narrative.

Relationship Building and Collaboration

• Collaborate with business partners to identify analytical improvement opportunities based on defined pain points, problem statements, scope, and analytics business case.
• Strategize with IT Development Teams to develop a standard process to collect, ingest, and deliver data along with proper data models.
• Lead team members in defining business requirements, facilitating workshops and/or prototyping sessions focused on enhancing analytics product functionality.
• Collaborate with internal and external partners to develop analytics that advance end-to-end Data Science solutions and practices.
• Coordinate with DevOps, Database Teams to ensure proper design of system databases and integration with enterprise applications.
• Design data visualization solutions, with Enterprise Data and Analytics Team, that synthesize complex data for data mining, discovery.

Technical/Functional Expertise

• Experience and understanding of current and emerging data, digital, and IT technologies (i.e., generative AI), as well as analytics processes and service models.
• Proficiency in Data Analysis and Visualization, analyzing and interpreting large datasets using AI and machine learning techniques.
• Understanding of AI concepts, algorithms, and machine learning models and the ability to apply AI technologies to solve business problems.
• Ability to leverage generative models to create synthetic data, simulate scenarios, or analyze outputs into actionable insights.
• Ability to identify actionable insights from data and provide recommendations.
• Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is a plus, but we also value perspective gained from other sectors.

Leadership

• Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization.
• Advocate of a culture of collaboration and psychological safety.
• Decision-making and Autonomy
• Play a lead role in decision-making processes by providing data-driven insights and solutions.
• Shift from manual decision-making to data-driven, strategic decision-making.
• Proven track record of applying critical thinking to resolve issues and overcome obstacles.

Interaction

• Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner.
• Lead analytical approaches, integrating work into applications and tools with data engineers, business leads, analysts, and developers.
• Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver technical solutions that meet Takeda technology standards and security measures.
• Ability to work alongside intelligent machines and humanize data and insights.
• Passion for teaming, coaching, and learning with a growing team of Data Scientists.

Innovation

• Passion for re-imagining new solutions, processes, and end-user experience by leveraging advanced technologies (i.e., generative AI/ML), effective statistical models, and enterprise analytics platforms and tooling to support BI solutions and drive business results
• Advocate of leveraging intelligent machine learning/AI to effectively work alongside technology, humanize data and insights, and mature business capabilities
• Advocate of a culture of growth mindset, agility, and continuous improvement

Complexity

• High multicultural sensitivity to effectively lead teams
• Takes initiative to anticipate challenges and take proactive measures in addressing complex problems.

Essential skillsets

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field
• At least 3-5 years of experience of data mining/data analysis methods and tools, building and implementing models, and creating/running simulations
• Familiarity with AI libraries and frameworks
• Experience and proficiency in applied statistical modeling (e.g., clustering, segmentation, multivariate, regression, etc.
• Demonstrated understanding and experience using:
• • Data Engineering Programming Languages (i.e., Python, Pyspark)
  • Distributed Data Technologies (e.g., Spark, Hadoop, H20.ia, Cloud AI platforms)
  • Data Visualization tools (e.g., Tableau, R Shiny, Plotly)
  • Databricks/ETL
  • Statistical Model Packages (MLib/SciKit-Learn, Statsmodels)
  • GitHub
  • Excel
• Creating new features by merging and transforming disparate internal & external data sets
• Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions
• Processes proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
• Demonstrated knowledge of relevant industry trends and standards
• Strong problem solving and troubleshooting skills
• Ability to work in a fast-paced environment and adapt to changing business priorities

Desired skillsets

• Degree in Data Science, Computer Science, Statistics, or related field
• Advanced experience in developing and applying predictive modelling, deep-learning, or other machine learning techniques
• Demonstrated understanding and experience in IICS/DMS (Data migration service)
• Experience in a global working environment
• Experience in solution delivery using common methodologies, especially SAFe Agile but also Waterfall, Iterative, etc.

Travel requirements

• Access to transportation to attend meetings
• Ability to fly to meetings regionally and globally

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.

Key Skills and Responsibilities:

• End-to-End Campaign Management: Proficient in managing the complete campaign lifecycle, possessing a deep understanding of process concepts and techniques.
• Design and Architecture: Translate business requirements into comprehensive high-level design documents and architectural solutions.
• Integration Expertise: Experience in integrating Adobe Campaign with various Adobe Experience Cloud products.
• Workflow Proficiency: Skilled in creating technical and campaign workflows, ensuring seamless and efficient processes.
• WebApp and JSSP: Well-versed in working with WebApp and JSSP, leveraging these modules effectively.
• Reporting: Generate reports on campaigns from Adobe campaign and provide to stakeholders to assist with optimisation of campaigns
• Implementation Know-How: Hands-on experience in installing and configuring designs within Adobe Campaign, utilizing JavaScript, and integrating APIs (SOAP and REST).
• Campaign Handling: Capable of managing various campaign types, including Marketing, Automated Trigger, and Transactional campaigns.
• Functionality Experience: Create and manage data schemas, Personalization Blocks, Lists, Predefined filters, Templates, Seed Addresses, Package management, Access Management, and Typologies.
• Template Management: Proficient in managing default templates and creating new templates as needed.
• Technical Skills: Strong knowledge of HTML, CSS, and JavaScript.
• Database and SQL: Intermediate knowledge of SQL,
• Quick Learner: Demonstrated ability to rapidly adapt to new technologies.
• This Senior Adobe Campaign Developer possesses a solid foundation in campaign management, design, and implementation, with a proven track record of integrating Adobe Campaign with various Adobe Experience Cloud products. Their technical proficiency, coupled with a fast-learning ability, makes them an asset for adapting to emerging technologies. The certifications validate their expertise, ensuring a robust and knowledgeable approach to Adobe Campaign development.
  

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.

Experience:

• Min 8 years of experience with AEM application design & development

Responsibilities:

• Design and implement solutions based on Adobe Digital stack
• Lead development for major client projects, including enterprise-level AEM/AEP design and development work.
• Responsible for System design, application architecture, data design, defining content lifecycles, setup and deployment of production environments while addressing performance and security concerns.
• Define content model for content/assets using AEM.
• Serve as a technical expert across teams, clients and vendors. Work with alliances and partnerships to ensure deep understanding of the technologies.
• Act as liaison between business units, technology teams and support teams and collaborate with developers, external vendors and subject matter experts to establish the technical vision.
• Start POCs and do early risk assessments.
• Identify system deficiencies and implements effective solutions.
• Training, Mentoring & Coaching of team members to create a solid implementation team well versed in technical and development methodology of Web Application solutions
• Research new products and technologies to determine fit with the technology roadmap.
• Develop project technology strategy by understanding key client objectives; diagnosing and mapping client requirements; articulating solution risks and barriers; recommending project approaches; preparing time and cost estimates; planning full project life cycle.
• Lead pre sales support activities for Adobe based opportunities and provide solutioning, effort estimation, and preparation of statement of work.
• Assist in strategic sales efforts from a technical perspective. Suggest alternative technical solutions to meet client requirements more efficiently, and with greater reusability.
• Lead Adobe Solutions, integrations, validation & alignment

Knowledge and Skill:

• 8+ years of Hands-on experience with AEM, AEM assets or AEP and very strong concepts of OSGi, Apache Sling, Apache Sightly, Apache Oak and Adobe Dispatcher
• Develop and oversee OSGI bundles, AEM templates, HTL/Sightly components and services, AEM launches, workflows, localization features, AEM Mobile and Forms applications and the AEM DAM.
• Significant exposure of working with ClientLibs, Java Content Repository (API), Sling Web Framework and Apache Felix OSGi framework.
• Expertise in Hands-on implementation of Java technologies, Java EE, Servlets, JSP, JSTL and Tag libraries
• Strong hand on experience of Components, Templates, Taxonomy, metadata management, Forward and Reverse Replication, Workflows, Content Publishing and unpublishing, Tagging, Deployment and Content migration/ planning.
• Expertise in AEM capabilities including Multi-site manager and Blueprinting, and the use of Online marketing components such as advanced targeting/personalization, and multi-variate testing, is preferred
• Experience on one or more other Adobe marketing cloud products like Dynamic Tag Manager, Target, Analytics, AEM Forms, Adobe Campaign
• Excellent communication and teamwork skills
• Experience working on the Latest Adobe Cloud Platform and its SaaS offerings
• Experience in setting up and configuring DAM system
• Experience in migration from other CMS to AEM.
• Experience with AEM version upgrade.
• Should be able to solution architect Adobe suite of products
• Should be able to comprehend clients business requirements and provide solutioning which includes AEM and or with a combination of other suite of products(Analytics, Target, DTM, Campaign, Audience Manager)
• Knowledge of using AEM in a cloud environment like Adobe Cloud, AWS, or other
• Experience with Java, JavaScript, J2EE, CSS and related technologies
• Experience with front end frameworks such as Angular, React, and Bootstrap.
• Working knowledge and understanding of the following: Apache, App server logs, RESTful web services, Javascript and jQuery
• Experience with cross-browser and cross-platform issues (IE, Firefox, Safari, etc.)

Your key responsibilities

• Collaborate with EY Supply chain & Operations stake holders and data engineering teams to enable high-quality data curation for model training and evaluation.
• Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch.
• Implement solutions for data pre-processing, tokenization, and dataset augmentation.
• Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness.
• Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies.
• Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency.
• Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows.

Skills and attributes for success

• 6+ years or experience in Generative AI, Machine Learning, or Analytics development.
• Proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers with quite good experience on RAG, Agent, and Transformers.
• Experience with data pipelines and tools like Spark, Snowflake, or Databricks.
• Strong hands-on experience deploying AI models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Expertise in Model Development with in-depth knowledge of LLMs (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering, and Model selection and fine-tuning techniques.
• Should have good understanding of Model pricing can build cost effective solution.
• Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows, Docker.
• Ability to mentor developers and contribute to architectural decisions.
• Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate).
• Experience working on end-to-end analytics pipelines with a focus on actionable insights.
• Hands-on exposure to APIs for integrating Generative AI solutions into business applications.
• Knowledge of NLP techniques like summarization, text classification, and entity recognition.
• Certifications in Machine Learning or cloud platforms are a plus.

To qualify for the role, you must have

• 6-10 years ML, MLOps, Generative AI LLMs experience as Developer/Lead / Architect
• Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts.
• Should be able to design AI solutions and present solutions as per client needs
• Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages.
• Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production.
• Should have Knowledge of Cloud like Azure, AWS, GCP etc.
• Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure.
• Knowledge of data modelling and Vector DB management and modelling.
• Design and develop complex flows and processes.

Ideally, you’ll also have

• Quite good understanding of Customer and Supply Chain process and operations.
• Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding
• Expertise in data handling to resolve any data issues as per client needs
• Experience in designing and developing DB objects and Vector Dbs.
• Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets.
• Experience in Model selection and tuning of model.
• Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities.
• Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents.
• Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred.
• Experience with Cloud data bases and multiple ETL tools.

What we look for

• The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage.
• An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries

At EY, we’re dedicated to helping our clients, from startups 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.

Key Responsibilities:

• Lead the design, implementation, and maintenance of scalable ML infrastructure.
• Collaborate with data scientists to deploy, monitor, and optimize machine learning models.
• Automate complex data processing workflows and ensure data quality.
• Optimize and manage cloud resources for cost-effective operations.
• Develop and maintain robust CI/CD pipelines for ML models.
• Troubleshoot and resolve advanced issues related to ML infrastructure and deployments.
• Mentor and guide junior team members, fostering a culture of continuous learning.
• Work closely with cross-functional teams to understand requirements and deliver innovative solutions.
• Drive best practices and standards for ML Ops within the organization.

Required Skills and Experience:

• Minimum 5 years of experience in infrastructure engineering.
• Proficiency in using EMR (Elastic MapReduce) for large-scale data processing.
• Extensive experience with SageMaker, ECR, S3, Lamba functions, Cloud capabilities and deployment of ML models.
• Strong proficiency in Python scripting and other programming languages.
• Experience with CI/CD tools and practices.
• Solid understanding of the machine learning lifecycle and best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and ability to work collaboratively in a team environment.
• Demonstrated ability to take ownership and drive projects to completion.
• Proven experience in leading and mentoring teams.

Beneficial Skills and Experience:

• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Familiarity with data visualization tools and techniques.
• Knowledge of big data technologies (Spark, Hadoop).
• Experience with version control systems (Git).
• Understanding of data governance and security best practices.
• Experience with monitoring and logging tools (Prometheus, Grafana).
• Stakeholder management skills and ability to communicate technical concepts to non-technical audiences.

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.

As EY GDS Consulting Senior, you’ll contribute technically and functionally to GRC Technology client engagements and internal projects. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team.

Your key responsibilities

• Define and implement IT Architecture and data pipelines tailored for risk and GRC technologies.
• Analyze clients' existing IT environments to identify areas for improvement and optimization.
• Designing and implementing ETL processes and workflows.
• Understanding of data lake concepts, structures, and best practices.
• Evaluate and select appropriate technologies and tools for data ingestion and normalization.
• Collaborate with clients to understand their requirements and provide customized solutions.
• Implement automation for data ingestion processes to reduce manual effort and minimize errors.
• Design systems and processes that can scale with the growing data needs of the organization.
• Develop and maintain documentation for architecture and data management processes.
• Ensure data integrity, security, and compliance with industry standards and best practices.
• Identify and integrate diverse data sources ensuring compatibility and consistency.
• Provide technical guidance and support to clients and internal teams.
• Stay updated with the latest trends and advancements in IT architecture, data engineering, and GRC technologies.
• Solution design to include integration of AI/Gen AI/Microservices for document/data/access management, 3rd party integrations, and cloud environment management and monitoring.
• Understand solutions architecture design patterns and create solution architectures to client CIO/CTOs.Drive customer requirements show back sessions, system demos and other workshops.
• Ability to work as a team member to contribute to various phases of projects.
• Assist EY regional teams on RFP pursuits and proposals for clients seeking GRC/IRM support on areas such as IT Architecture, Data ingestion & solution design.
• Develop and maintain productive working relationships with client personnel.
• Demonstrate flexibility to travel to the customer locations on a need basis.
• Ensure on-time delivery of allocated tasks.
• Ensuring adherence to quality processes specified for the project.
• Compliance with EY policies and procedures like Timesheet / Leaves management etc.
• Assist Project Lead for the successful execution of the project (estimation, reviews, customer satisfaction, etc.).

Skills and attributes for success

• Strong communication, presentation, and team-building skills and experience in producing high-quality reports, papers, and presentations.
• Foster teamwork, quality culture and lead by example.
• Understand and follow workplace policies and procedures
• Training and mentoring of project resources
• Participating in the organization-wide people initiatives

To qualify for the role, you must have

• 3-7 years of experience in GRC technology and solutions.
• Strong understanding of IT architecture principles and data engineering best practices.
• Proven experience in setting up and managing data pipelines.
• Excellent analytical and problem-solving skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Strong project management skills and the ability to work independently and as part of a team Basic understanding of cross GRC domains including Information Security, business continuity and Risk Management.
• Team Building - Knowledge sharing, training, motivating and development of team members.

Ideally, you should also have

• Bachelor's degree in Information Technology, Computer Science, or a related field.with a minimum of 3+ years of experience with other Big3 or panelled SI/ ITeS companies
• Familiarity with a typical IT systems development life cycle
• Experience with specific GRC tools and platforms.
• Knowledge of industry standards and regulations related to risk and compliance.
• Certification in relevant IT architecture or data management areas
• Exposure to multiple GRC tools like Archer, ServiceNow, MetricStream, Enablon, etc. would be an added advantage

What we look for

• A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment with consulting skills.
• 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 Consulting practices globally with leading businesses across a range of industries

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.

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 :

• Mandatory skill : Temenos experience as mandatory skill.
• 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

• 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

What we look for

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