דרושים Wam-aladdin Engineer-automation Qe-sr- Sc ב-Ey ב-India, Bengaluru

As part of our EY-GDS team, you will lead digital procurement transformation projects, driving the adoption of advanced technologies across sourcing, spend management, and procure-to-pay (P2P) processes. You will oversee the implementation of digital procurement platforms for direct and indirect categories, apply AI-powered analytics for spend insights, and use market intelligence to support strategic sourcing. Your role includes identifying cost-saving and process improvement opportunities, optimizing contract management with digital tools, and deploying AI solutions for supplier risk, demand forecasting, and spend visibility. Additionally, you will drive automation across purchasing, expediting, and end-to-end P2P workflows to enhance efficiency and effectiveness.

We are seeking experienced professionals for the roles of Senior 3-7 years of experience with a strong background in consulting and a specialized focus on digital procurement transformation.

Your key responsibilities

• Develop and execute digital procurement transformation strategies aligned with client objectives and industry benchmarks.
• Lead end-to-end procure-to-pay (P2P) process redesign using digital tools to improve efficiency, compliance, and user experience.
• Manage the selection, configuration, and rollout of procurement platforms such as SAP Ariba, Coupa, GEP SMART, Ivalua, or Zycus.
• Collaborate with IT and business stakeholders to ensure successful ERP-procurement integration and data harmonization.
• Embed automation, AI, and analytics into procurement workflows to reduce manual effort and support intelligent decision-making.
• Design and implement digital dashboards and KPIs to monitor procurement performance, compliance, and supplier engagement.
• Lead strategic sourcing and category management initiatives supported by digital tools and market intelligence platforms.
• Integrate procurement platforms with ERP systems like SAP S/4HANA, Oracle, or Microsoft Dynamics to enable seamless data flow and real-time reporting.
• Conduct detailed spend analysis to identify cost-saving opportunities and support procurement value creation.
• Drive change management initiatives to ensure successful adoption of new procurement systems and processes.
• Conduct system testing, user acceptance testing (UAT), and training to ensure smooth deployment and user readiness.
• Provide subject matter expertise on procurement compliance, risk management, and regulatory requirements in digital environments.
• Resolve data quality issues and maintain clean, reliable master data across procurement and ERP systems.
• Develop procurement playbooks, process documentation, and training materials to support digital transformation.

Must Have:

• Strong understanding of procurement processes, digital tools, and transformation levers across Source-to-Pay (S2P)
• Deep expertise in digital procurement technologies implementation such as SAP Ariba, Coupa, GEP, Ivalua, or Zycus.
• Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations.
• Exceptional problem-solving and critical thinking skills, with a structured approach to solution development.
• Client facing experience leading design workshops for solution deployment
• Experience in developing to-be state operating models and governance structures post deployment of technology solutions
• Experience in reporting on tools like Power BI / Alter

Good to Have

• Experience working on ERPs like SAP ECC / HANA & Oracle is an added advantage
• Experience in Implementation or performing Proof of concept for GEN AI in Procurement with S2P cloud solutions
• Knowledge of emerging trends like AI in sourcing, automation, supplier risk management, and sustainability in procurement

To qualify for the role, you should have

• Master’s degree in business administration or supply chain & Operations from a Tier-1 or Tier-2 institute, with 3-7 years of relevant experience.
• Strong Excel and PowerPoint skills.
• Agile mindset with the ability to work in fast-paced, dynamic client settings.
• Consulting Experience in digital procurement, Spend Analysis, category management, Operating model redesign, governance frameworks, strategic sourcing.
• Supply chain consulting experience in Big 4, Supply chain global consulting firms preferred.
• 30% travel expected as per project requirements.

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 SCO practices globally with leading businesses across a range of industries

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

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

• 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

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.

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.

KEY Capabilities:

• Experience in working with Splunk Enterprise, Splunk Enterprise Security & Splunk UEBA
• Minimum of Splunk Power User Certification
• Good knowledge in programming or Scripting languages such as Python (preferred), JavaScript (preferred), Bash, PowerShell, Bash, etc.
• Assist in remote and on-site gap assessment of the SIEM solution.
  • Work on defined evaluation criteria & approach based on the Client requirement & scope factoring industry best practices & regulations
  • Assist in interview with stakeholders, review documents (SOPs, Architecture diagrams etc.)
  • Asist in evaluating SIEM based on the defined criteria and prepare audit reports
• Good experience in providing consulting to customers during the testing, evaluation, pilot, production and training phases to ensure a successful deployment.
• Experience in onboarding data into Splunk from various sources including unsupported (in-house built) by creating custom parsers
  • Verification of data of log sources in the SIEM, following the Common Information Model (CIM)
  • Experience in parsing and masking of data prior to ingestion in SIEM
  • Provide support for the data collection, processing, analysis and operational reporting systems including planning, installation, configuration, testing, troubleshooting and problem resolution
  • Assist clients to fully optimize the SIEM system capabilities as well as the audit and logging features of the event log sources
  • Assist client with technical guidance to configure their log sources (in-scope) to be integrated to the SIEM
• Experience in SIEM content development which includes :
  • Hands-on experience in development and customization of Splunk Apps & Add-Ons
  • Builds advanced visualizations (Interactive Drilldown, Glass tables etc.)
  • Build and integrate contextual data into notable events
  • Experience in creating use cases under Cyber kill chain and MITRE attack framework
  • Capability in developing advanced dashboards (with CSS, JavaScript, HTML, XML) and reports that can provide near real time visibility into the performance of client applications.
  • Sound knowledge in configuration of Alerts and Reports.
  • Good exposure in automatic lookup, data models and creating complex SPL queries.
  • Create, modify and tune the SIEM rules to adjust the specifications of alerts and incidents to meet client requirement
  • Experience in creating custom commands, custom alert action, adaptive response actions etc.

Qualification & experience:

• Minimum of 3 years’ experience in Splunk and 3 to 5 years of overall experience with knowledge in Operating System and basic network technologies
• Experience in SOC as L1/L2 Analyst will be an added advantage
• Strong oral, written and listening skills are an essential component to effective consulting.
• Good to have knowledge of Vulnerability Management, Windows Domains, trusts, GPOs, server roles, Windows security policies, user administration, Linux security and troubleshooting
• Certification in any other SIEM Solution such as IBM QRadar, Exabeam, Securonix will be an added advantage
• Certifications in a core security related discipline (CEH, Security+, etc.) will be an added advantage.

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:

• 6-8 years of software development experience in a product engineering background within the payment and financial industry.
• Strong experience in Java (Version 8 and above), Spring Boot, REST APIs, and Microservices.
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and React.
• Design and build key components for a distributed transaction engine and payment processing logic, including APIs and payment tokenization.
• Hands-on experience with cloud deployments.
• Strong understanding of Java design patterns, data structures, and algorithms.
• Experience with NoSQL databases and distributed messaging systems (e.g., Redis, Kafka, Couchbase, Cassandra) in low-latency, high-transaction environments.
• Backend experience with Apache Cassandra and relational databases like Oracle and PostgreSQL.
• Expertise in application design, software development, and automated testing.
• Proven experience in object-oriented design and coding.
• Familiarity with Agile or rapid application development methodologies and experience in Scrum teams.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field is required.

Desirable Skills:

• Knowledge of Spring and Vert.x.
• Functional and technical understanding of payment architectures, core payment processing solutions and underlying payment business processes. Experience on any industry led platforms would be a bonus.
• Understanding of the basic payment hub architecture, the surround systems for payment hubs in a typical payment hub architecture
• Familiarity with distributed (multi-tiered) systems.

Key Responsibilities:

• Cash and Position Reconciliation: Guide the team in performing daily cash and position reconciliations to ensure accuracy and completeness of fund records.
• Accrual and PNL Validation: Oversee validation of daily accruals and PNL, ensuring all income, expenses, and valuations are appropriately captured and reported.
• Asset Class Expertise: Apply in-depth knowledge of multiple asset classes—including equities, fixed income, derivatives, and alternatives—in all accounting processes.
• Fund and Client Accounting: Manage end-to-end accounting tasks, including NAV calculation, fee accruals, and general ledger activities for assigned funds and clients.
• Team Management: Lead, mentor, and develop a team of accountants, fostering a culture of accuracy, accountability, and continuous improvement.
• Onboarding and Fund Setup: Oversee the onboarding process for new funds and clients, ensuring all systems, controls, and documentation are in place for successful launches.
• Client Reporting: Prepare and review periodic and ad hoc client reports, maintaining consistency, clarity, and compliance with client requirements.
• Regulatory Evaluation: Evaluate and implement regulatory requirements, ensuring all fund and client activities adhere to current regulations and best practices.
• Aladdin Accounting Experience: Utilise Aladdin or similar investment accounting platforms for data management, reconciliation, and reporting functions.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Accounting, Finance, or a related field.
• Strong understanding of fund and client accounting principles and practices.
• Expertise in handling multiple asset classes.
• Proficiency with Aladdin or equivalent investment accounting systems.
• Excellent analytical and problem-solving abilities.
• Ability to manage multiple tasks and deadlines effectively.
• Strong communication and interpersonal skills.

Preferred skills:

• Minimum 8-10 years of relevant fund/client accounting experience.
• Demonstrated experience in leading teams within the financial services sector.
• Hands-on operational knowledge of Aladdin accounting platform is highly desirable.

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.

Azure ML and Python Dev- Senior 1/2

EY GDS Consulting digital engineering, is seeking experienced Azure ML and Python Developer. Your responsibilities will include designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are key requirements for this role.

Your key responsibilities

• Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services.
• Design and implement scalable and efficient data pipelines for model training and inference.
• Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions.
• Implement best practices for ML development, including version control, testing, and documentation.
• Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications.
• Monitor and optimize model performance, ensuring scalability, reliability, and security.
• Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability.
• Stay updated with industry trends and best practices in machine learning, cloud computing, and API development.
• Mentor junior team members, sharing expertise and guiding them in technical challenges.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions.
• Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization.
• Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities.

Soft Skills

• Bachelor's degree in computer science, data science, or related field.
• 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment.
• Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure.
• Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.
• Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics.
• Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation.
• Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space.
• Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines.

To qualify for the role, you must have

• A bachelor's or master's degree in computer science, data science, or related field.
• 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure.
• Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences.
• Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, or equivalent, are highly desirable.
• Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus.

Ideally, you’ll also have

• Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions.
• Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative.
• Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications.
• Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments.
• Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale.

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