5403 Retrieval Jobs - Page 44

About The Role Grade Level (for internal use): 11 We are seeking a highly skilled Enterprise Data Management (EDM) Software Engineer to join our dynamic team. This role will focus on building, enhancing, and optimizing our enterprise data management solutions, ensuring efficient data processing, governance, and integration across multiple platforms. The ideal candidate will have a strong background in data engineering, software development, and enterprise data architecture. Key Responsibilities Design, develop, and maintain robust EDM solutions to support business needs. Implement data ingestion, validation, and transformation pipelines for large-scale structured and unstructured data. Develop and optimize SQL databases for data storage, retrieval, and reporting. Ensure high data quality and compliance with regulatory and security requirements. Collaborate analysts, and business stakeholders to design scalable data solutions. Automate data workflows, monitoring, and alerting to improve system performance and resilience. Work on system integrations, including APIs, ETL/ELT processes, and cloud-based data services. Troubleshoot and resolve data-related technical issues, ensuring high availability and reliability. Stay up to date with industry trends and emerging technologies in data management and cloud computing. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. 4+ years of experience in software development with a focus on enterprise data management. Strong proficiency in SQL and Python for data processing and automation. Experience with relational and NoSQL databases. Hands-on experience with ETL/ELT tools and frameworks (e.g., EDM, Apache Informatica). Familiarity with AWS, and their data services. Strong understanding of data governance, metadata management, and data security best practices. Excellent problem-solving skills, analytical mindset, and ability to work in an agile environment. Effective communication skills to collaborate with cross-functional teams. Preferred Qualifications Experience with data modeling, master data management (MDM), and data lineage tools. Knowledge of financial or market data processing and corporate actions is a plus. Experience working in a DevOps environment with CI/CD pipelines. About S&P Global Dow Jones Indices At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/spdji. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 311977 Posted On: 2025-07-02 Location: Noida, Uttar Pradesh, India

Position: Senior .NET Core Developer( Remote , Base Location : Chennai) Experience: 5-8 years Responsibilities As a Senior .NET Core Developer, you will play a key role in architecting, designing, and implementing robust and scalable web applications and distributed systems. Your responsibilities will include: Web API Development: Designing and implementing secure and efficient Web APIs, ensuring seamless integration with various client applications. Storage Management: Overseeing storage accounts and implementing strategies for efficient data storage and retrieval in cloud environments, leveraging services like Azure Storage. Messaging Architecture: Designing and implementing messaging queues for asynchronous communication between microservices, ensuring a decoupled and scalable system. Background Jobs: Developing and optimizing background job processes to handle tasks such as batch processing and asynchronous operations. Distributed Systems: Architecting and maintaining distributed systems, ensuring high availability, fault tolerance, and optimal performance. Technology Stack: Utilizing .NET Core 6 and staying updated with the latest technologies and best practices in the .NET ecosystem. Error Handling and Retries: Implementing robust error handling mechanisms and strategies for automatic retries to enhance system reliability. Database Management: Designing and optimizing database schemas, utilizing ORMs for efficient data access, and ensuring data integrity. Memory Management and Performance: Implementing efficient memory management practices and optimizing code for performance. Async Programming: Leveraging asynchronous programming techniques for handling concurrent operations and improving application responsiveness. Qualifications Bachelor's or Master's degree in Computer Science or a related field. Extensive experience (5-8 years) in .NET Core development. Proven expertise in designing and implementing scalable web applications and distributed systems. Strong knowledge of Web API development, storage management, messaging architectures, and background processing. Experience with error handling, retries, and implementing robust solutions for fault tolerance. Proficiency in database design, ORMs, and data access optimization. Familiarity with the latest .NET technologies, especially .NET 6. Excellent problem-solving and debugging skills. Strong understanding of memory management and performance optimization. Experience in asynchronous programming. Why Brimma Tribe? Mortgage Technology Leadership: Join a team with over two decades of experience in building and implementing enterprise-grade Mortgage Technology platforms, used by leading mortgage lenders in the US. Tribal Culture: Become a part of a tribe that cherishes diversity, encourages innovation, and thrives on collaboration, where every voice matters. Inspired by Tribal Leadership and the mantra 'Be Nice…Play Nice,' our culture fosters an inclusive environment. Innovation at the Core: Our innovations arise from a profound understanding of mortgages and cutting-edge technology, setting the pace for industry trends. Optimizing Processes: We're dedicated to reengineering Mortgage Lending, utilizing the right technology to reduce origination costs for lenders. Impactful Solutions: Collaborate with high-performing teams, delivering solutions that leave a lasting impression and create "raving fans." Elevate your career with Brimma - where technology, culture, and innovation converge! Skills:- ASP.NET and C#

About The Company Hypersonix.ai is disrupting the e-commerce space with AI, ML, and advanced decision-making capabilities to drive real-time business insights. Built from the ground up using modern technologies, Hypersonix simplifies data consumption for customers across various industry verticals. We are seeking a well-rounded, hands-on product leader to help manage key capabilities and features in our platform. Position Overview We are seeking a highly skilled Web Scraping Architect to join our team. The successful candidate will be responsible for designing, implementing, and maintaining web scraping processes to gather data from various online sources efficiently and accurately. As a Web Scraping Specialist, you will play a crucial role in collecting data for competitor analysis and other business intelligence purposes. Responsibilities Scalability/Performance: Lead and provide expertise in scraping at scale e-commerce marketplaces. Data Source Identification: Identify relevant websites and online sources from which data needs to be scraped. Collaborate with the team to understand data requirements and objectives. Web Scraping Design: Develop and implement effective web scraping strategies to extract data from targeted websites. This includes selecting appropriate tools, libraries, or frameworks for the task. Data Extraction: Create and maintain web scraping scripts or programs to extract the required data. Ensure the code is optimized, reliable, and can handle changes in the website's structure. Data Cleansing and Validation: Cleanse and validate the collected data to eliminate errors, inconsistencies, and duplicates. Ensure data integrity and accuracy throughout the process. Monitoring and Maintenance: Continuously monitor and maintain the web scraping processes. Address any issues that arise due to website changes, data format modifications, or anti-scraping mechanisms. Scalability and Performance: Optimize web scraping procedures for efficiency and scalability, especially when dealing with a large volume of data or multiple data sources. Compliance and Legal Considerations: Stay up-to-date with legal and ethical considerations related to web scraping, including website terms of service, copyright, and privacy regulations. Documentation: Maintain detailed documentation of web scraping processes, data sources, and methodologies. Create clear and concise instructions for others to follow. Collaboration: Collaborate with other teams such as data analysts, developers, and business stakeholders to understand data requirements and deliver insights effectively. Security: Implement security measures to ensure the confidentiality and protection of sensitive data throughout the scraping process. Requirements Proven experience of 7+ years as a Web Scraping Specialist or similar role, with a track record of successful web scraping projects Expertise in handling dynamic content, user-agent rotation, bypassing CAPTCHAs, rate limits, and use of proxy services Knowledge of browser fingerprinting Has leadership experience Proficiency in programming languages commonly used for web scraping, such as Python, BeautifulSoup, Scrapy, or Selenium Strong knowledge of HTML, CSS, XPath, and other web technologies relevant to web scraping and coding Knowledge and experience in best-of-class data storage and retrieval for large volumes of scraped data Understanding of web scraping best practices, including handling dynamic content, user-agent rotation, and IP address management Attention to detail and ability to handle and process large volumes of data accurately Familiarity with data cleansing techniques and data validation processes Good communication skills and ability to collaborate effectively with cross-functional teams Knowledge of web scraping ethics, legal considerations, and compliance with website terms of service Strong problem-solving skills and adaptability to changing web environments Preferred Qualifications Bachelor’s degree in Computer Science, Data Science, Information Technology, or related fields Experience with cloud-based solutions and distributed web scraping systems Familiarity with APIs and data extraction from non-public sources Knowledge of machine learning techniques for data extraction and natural language processing is desired but not mandatory Prior experience in handling large-scale data projects and working with big data frameworks Understanding of various data formats such as JSON, XML, CSV, etc. Experience with version control systems like Git Skills:- Web Scraping, Python, Selenium, HTML/CSS, XPath, Beautiful Soup and Scrapy

Nurturebox is on a mission to redefine lead generation for the staffing industry with AI-powered precision and insights. We’re seeking a talented AI Scientist to join us in building a next-gen platform that goes far beyond basic lead gen – we’re building an intelligent system designed to deliver warm, qualified leads and actionable buyer insights on demand. This role is not about plugging into a pre-existing AI stack. You’ll be our first AI hire, bringing your expertise to a ‘plain white canvas’ where you’ll architect and implement our entire AI framework from scratch. Our focus isn’t just on automation but on crafting a solution that actively adapts to industry nuances, incorporating intent data, job listings, and hundreds of signals to zero in on ideal prospects. Our recruitment product has already gained significant traction, and with you on board, we’re ready to level up to Nurturebox 2.0, pushing the boundaries of personalized, data-driven prospecting. You’ll work alongside our founding team in a flat hierarchy, so there’s zero red tape—just an open runway for innovation. If you’re passionate about tackling complex problems and crave a role where you can directly shape the future of recruiting tech, Nurturebox is where you’ll make your mark. This is a chance to build a transformative platform from the ground up, with end-to-end ownership and the freedom to create AI-driven solutions that solve real-world staffing challenges. If you’re ready to redefine what’s possible in lead generation, we’d love to meet you. Why We’re Building This? By 2030, AI agents/teammates will be embedded in every department of every major enterprise. Engineers, PMs, sales reps—all will work alongside AI "colleagues" that do more than assist; they learn, adapt, and execute autonomously. Imagine hiring AI to do the job, not just assist with it. At Nurturebox, we’re building that vision specifically for the staffing industry. We know this space inside and out, and we’re crafting a true AI teammate product, not a glorified chatbot or simple co-pilot. This AI is the product—a powerful, adaptive system built to tackle staffing’s unique challenges. This is a role to architect something truly groundbreaking from scratch: to create an AI teammate that not only integrates seamlessly but transforms how the staffing industry operates. If you're ready to redefine what AI can do in a business-critical environment, let’s talk about how you could lead the charge with us. About Ideas2IT (Parent Company) Ideas2IT is a high-end product development firm growing fast with prestigious logos like Facebook, Bloomberg, Roche, Medtronic, and many exciting SAAS startups. We have a proven track record of successfully launching 5 startups in the last 6 years. All of them are venture-funded by top-tier firms and have great traction. Pipecandy - eCommerce AI. Successfully exited Element5 - Healthcare AI. $50M in funding from Insight venture partners Carefi.in - Healthcare Fintech. Funded by Sequoia IdeaRx - Funded by the second-largest eye care chain in the world NurtureBox - Recruitment AI and automation In This Role, You Will Conduct deep research on the foundations and capabilities of LLMs. Design and implement innovative research projects to explore the application of LLMs for code understanding and generation. Develop and evaluate novel techniques for LLM fine-tuning and adaptation to the specific needs Collaborate with engineers and other scientists to integrate LLM solutions seamlessly into the Nurturebox platform. Stay up-to-date on the latest advancements in LLM research and present findings at conferences and within the company. Build a RAG-based solution and leverage Vector DB, Graph DB, chunking, ranking, indexing, semantic search, etc. You Are The Ideal Candidate If You Have Strong foundation skills in AI/ML systems Hands-on experience of working with LLMs Proven experience conducting deep research on LLMs, with a strong understanding of their architecture, training methods, and capabilities. Expertise in natural language processing (NLP) techniques, including text representation, machine translation, and text summarization. A solid foundation in machine learning fundamentals, including deep learning architectures and optimization algorithms. Excellent programming skills in Python, with experience using popular deep learning libraries (e.g., TensorFlow, PyTorch). Excellent communication and collaboration skills, with the ability to effectively present complex technical concepts to technical and non-technical audiences. A passion for innovation and a desire to push the boundaries of what's possible with LLMs. Knowledge of LLM evaluation methodologies Bonus Points For Experience working with LLM for codebase Experience in building and deploying real-world LLM applications. Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP). A strong publication record in top AI and NLP conferences and journals. At Nurturebox, you'll join a team of passionate individuals working on the cutting edge of AI. We offer a collaborative and stimulating work environment, competitive compensation and benefits, and the opportunity to impact the future of Agentic AI. If you're ready to take your LLM expertise to the next level and help us revolutionize Agentic AI transformation, we encourage you to apply! Skills:- Large Language Models (LLM), Large Language Models (LLM) tuning, Retrieval Augmented Generation (RAG) and Artificial Intelligence (AI)

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Description: We are seeking a proactive and technically sound VBA Developer with hands-on experience in Office Script, SharePoint Online, and automation scripting. The ideal candidate will be responsible for enhancing and supporting business automation solutions across Excel, Office 365, and related platforms. This role requires a strong foundation in VBA development and the ability to work with modern scripting tools like Office Scripts and Python. Key Responsibilities: Design, develop, and maintain Excel-based tools using VBA and Office Script (TypeScript). Automate tasks involving Word, PDF handling and Web-based tools using scripting. Modernize legacy Excel VBA tools into Office Scripts and integrate them with Power Automate Cloud Flows. Interact with SharePoint Online using REST API calls from VBA for data retrieval and updates. Collaborate with teams to understand automation requirements and implement scalable, reusable solutions. Provide ongoing support and optimization for VBA and Office Script-based tools. Use Python scripts (intermediate level) for supplementary automation, data processing, or integration tasks. Required Skills & Qualifications: Strong experience in Excel VBA (looping, conditions, modular programming, error handling). Proficiency in Office Script and TypeScript (required). Hands-on experience with REST API calls from VBA (e.g., SharePoint, Outlook, Microsoft Graph). Good working knowledge of SharePoint Online – lists, libraries, and integration via VBA and Office 365 tools. Intermediate Python scripting skills for automation and data transformation. Familiarity with Power Automate (Cloud Flows) for end-to-end business process automation. Nice to Have: Experience with Office JS APIs or Microsoft Graph API. Familiarity with Power Apps and Dataverse. Exposure to Agile or DevOps work models. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Description: We are seeking a proactive and technically sound VBA Developer with hands-on experience in Office Script, SharePoint Online, and automation scripting. The ideal candidate will be responsible for enhancing and supporting business automation solutions across Excel, Office 365, and related platforms. This role requires a strong foundation in VBA development and the ability to work with modern scripting tools like Office Scripts and Python. Key Responsibilities: Design, develop, and maintain Excel-based tools using VBA and Office Script (TypeScript). Automate tasks involving Word, PDF handling and Web-based tools using scripting. Modernize legacy Excel VBA tools into Office Scripts and integrate them with Power Automate Cloud Flows. Interact with SharePoint Online using REST API calls from VBA for data retrieval and updates. Collaborate with teams to understand automation requirements and implement scalable, reusable solutions. Provide ongoing support and optimization for VBA and Office Script-based tools. Use Python scripts (intermediate level) for supplementary automation, data processing, or integration tasks. Required Skills & Qualifications: Strong experience in Excel VBA (looping, conditions, modular programming, error handling). Proficiency in Office Script and TypeScript (required). Hands-on experience with REST API calls from VBA (e.g., SharePoint, Outlook, Microsoft Graph). Good working knowledge of SharePoint Online – lists, libraries, and integration via VBA and Office 365 tools. Intermediate Python scripting skills for automation and data transformation. Familiarity with Power Automate (Cloud Flows) for end-to-end business process automation. Nice to Have: Experience with Office JS APIs or Microsoft Graph API. Familiarity with Power Apps and Dataverse. Exposure to Agile or DevOps work models. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Role: Release and Continuous Deployment Manager The Opportunity We are seeking a highly skilled and experienced Release and Continuous Deployment Manager to join our team. The ideal candidate will have extensive experience in automating infrastructure and platform provisioning across on-premises and cloud environments using Terraform and Helm charts. This role involves designing and implementing Infrastructure as Code (IaC) solutions for scalable and efficient deployments. Your key responsibilities: Infrastructure Automation: Design and implement automated infrastructure provisioning solutions using Terraform and Helm charts for both on-premises and cloud environments. Automation of Automation: Leverage advanced technologies such as Retrieval-Augmented Generation (RAG) and LLAMA to generate test cases from Open API specifications. Develop a robust test engine for execution and reporting to enhance testing efficiency. Technical Leadership: Provide strategic direction and technical leadership, offering architectural blueprints for seamless project execution. Automation as a Service (AaaS): Lead the development of AaaS, delivering streamlined automation solutions to cross-functional teams. Innovative Test Platform: Engineer and enhance a test platform that automatically triggers automation suites and integrates InfoSec automation to support seamless, secure, and efficient daily production deployments. Data Controller Development: Create a Data Controller for functional, performance, and security testing, automating data generation, cleansing, and clearing to ensure consistent and efficient test execution. Backup and Restore Mechanisms: Implement automated backup and restore mechanisms to significantly reduce test setup time and enable rapid test environment recovery. On-Demand Pipelines: Architect on-demand Jenkins/GitLab pipelines to minimize environment provisioning time. Containerized Test Platform: Design a zero-footprint, containerized test platform for automation across diverse environments. Scalability Mastery: Architect a scalable test platform that dynamically adjusts nodes based on workload demands, both on-premises and in the cloud. AI Integration: Integrate AI for test case generation, test data generation, and execution to optimize testing efficiency. Test Pyramid Optimization: Reduce the test pyramid size to improve testing efficiency and coverage. Tool & Solution Development: Develop cutting-edge tools for Automation of Automation, UI/API-Driven Testing, and Zero Footprint Environment. Seamlessly integrate testing tools with collaboration platforms to enhance team productivity. Automated Reporting & Analytics: Implement automated reporting and analytics for deeper testing insights. Skills And Attributes For Success Technical Expertise: Technologies: GraphQL, Kubernetes, Docker, Terraform, ELK Stack, Strapi, Restful API, Prisma. Frameworks: Automation frameworks using Java, Elasticsearch, TestNG, and MindMap. Performance Testing: JMeter, Gatling, and custom test platforms. UI Development: ReactJS, NodeJS, MeteorJS. Cloud Platforms: GCP, Azure, AWS. Languages: Java, Python, JavaScript, Perl. KPI Dashboards: PowerBI, Grafana, InfluxDB, ReportPortal. DevOps & Infrastructure Automation: DevOps as a Service (DaaS): Design self-service platforms for pipeline creation, deployment automation, and dynamic infrastructure provisioning. CI/CD Pipeline Automation: Develop smart commit-driven workflows using Jenkins and GitLab CI/CD to ensure seamless code integration and deployment. Infrastructure as Code (IaC): Automate infrastructure provisioning using Terraform to enable scalable cloud architectures. Hybrid & Multi-Cloud Architectures: Hands-on expertise with AWS and Azure, optimizing cloud costs and leveraging Kubernetes for container orchestration. Monitoring & Observability: Implement Grafana, Prometheus, ELK Stack, and PowerBI for real-time insights, predictive analytics, and proactive issue resolution. Test Architecture & Automation: Containerized Test Platform: Design a scalable, zero-footprint test automation framework that dynamically adjusts execution nodes based on workload. Test Optimization & Pyramid Strategy: Implement a test pyramid approach to reduce execution time while improving test coverage. Performance & Security Testing: Integrate JMeter, Gatling, and custom performance platforms within CI/CD pipelines to ensure software reliability. Automated Reporting & Analytics: Develop AI-driven test reporting dashboards to enable faster feedback loops and root cause analysis. Innovation & Solution Development: On-Demand Pipelines: Develop on-demand Jenkins/GitLab pipelines to reduce environment provisioning time. API-First Testing Solutions: Architect API-first testing solutions integrating with GraphQL, RESTful APIs, Strapi, and Prisma. AI-Based Analytics: Design AI-based analytics to identify bottlenecks and improve system reliability. Technical Skills: DevOps Architecture and Automation: Expertise in designing and managing end-to-end automation pipelines using Jenkins, GitLab, and Pipeline as Code strategies. Infrastructure as Code (IaC): Proficient in Terraform, CloudFormation, and Ansible for automated provisioning and configuration. Containerization and Orchestration: Skilled in Kubernetes, Docker, and Cloud Foundry for scalable, containerized application deployments. Cloud Platforms: Hands-on experience with AWS, Azure, and GCP for cloud-native architecture and virtualization. Monitoring and Logging: Strong experience with ELK Stack, Grafana, InfluxDB, and PowerBI for KPI dashboards and analytics. API Management: Expertise in GraphQL, RESTful APIs, Strapi, and Prisma for developing and managing APIs. Performance Testing: Skilled in tools like JMeter, Gatling, and custom performance platforms for capacity planning and system optimization. Framework Development: Developed automation frameworks using Java, Elasticsearch, and TestNG for seamless test case automation and reporting. Swagger API Test Data Generation: Automated Swagger API Test Data generation and execution using Restler and Zap for enhanced API testing capabilities. UI Development: Proficient in modern web technologies like ReactJS, NodeJS, and MeteorJS for building dynamic user interfaces. Programming Languages: Proficient in Java, Python, JavaScript, Shell, and Perl for automation, scripting, and software development. KPI Dashboards: Designed and implemented real-time KPI Dashboards with tools like Grafana, PowerBI, and ReportPortal to track system health and operational metrics. What We Look For A self-starter, independent-thinker, curious and creative person with ambition and passion What We Offer At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

POSITION SUMMARY: This position is part of the technology team supporting the global IPG Studio network, and providing services to the Craft Worldwide Studio network and clients. This role requires a solid understanding of taxonomy, metadata, and digital asset organization to ensure accurate and efficient search results within the DAM. It involves optimizing workflows to meet the fast-paced demands of studios and clients, ensuring seamless asset ingestion and retrieval. Key responsibilities include collaborating with teams to align asset organization with client needs, managing usage rights, and monitoring the full asset lifecycle. The DAM is a core part of the production tech stack, and the role demands a hands-on approach to ensure all assets are properly tagged, catalogued, and maintained for an optimal user experience. ESSENTIAL FUNCTIONS: Organize, catalogue, tag and publish assets going into the DAM ecosystem Create, manage and apply appropriate usage rights records to assets in the DAM to prevent the misuse or untimely release of assets. Be able to hold regular update meetings with key internal and client stakeholders Partner with the Support team to maintain client specific workflows, asset requirements and respond to tier 1/2 support requests. Help create and update training presentation materials for the DAM platform. Organise & manage training sessions directly with internal and client stakeholders. With the required application training, be able to make low level administration changes inside DAM platforms. Work with both clients and internal teams to identify further use cases for Digital Asset Management. Utilize reporting capabilities in the DAM to optimize asset tagging and usage in the platforms. Manage and process asset fulfilment requests and workflows. Generate demand for your service, both internally and externally. Manage and process asset fulfilment requests and workflows. Supporting IPG and Craft’s values. Be part of an environment of mutual respect and partnership, strategic thinking, appropriate risk taking, open lines of communication, on-going performance feedback, professional development, and adherence to agency policy. EDUCATION, SKILLS AND EXPERIENCE REQUIREMENTS: 3+ years of experience working with an enterprise level digital asset management platform. Broad knowledge of DAM, metadata and taxonomy concepts. Knowledge about AEM DAM, eCommerce workflow and Salsify tool. Media and technology agnostic, whilst displaying a profound love and passion for Technology. Rigorous attention to detail. Robust technical and analytical skills, with proven ability in identifying problems, recommending solutions, and improving processes. A profound love and passion for Technology Excellent collaborator working as part of a global team across multiple offices and time zones. Strong interpersonal skills, a positive attitude, and the ability to thrive in a collaborative agency environment with multi-disciplinary teams Excellent communication skills, both verbally and electronically with the ability to understand and translate back requirements and needs. Curious and resourceful; comfortable learning new things through exploration, self-training and teamwork.

Quale Infotech is a company focused on Intelligent Process Automation (IPA), AI and other new-age technologies. Our AI innovation hub is one of the leading research sites for new age technologies. IPA practice at Quale Infotech is one of the most respected with experts having decades of experience. Aiwozo is Quale Infotech’s proprietary product that provides enterprise automation solution to over 250+ enterprises. Aiwozo is rated as one of the top 5 IPA tools in the world as per analysts like G2 & Everest. Role Description We are looking for passionate AI developers to join our AI team in building cutting-edge enterprise AI tools. This role involves leveraging machine learning, artificial intelligence, and big data technologies to build intelligent analytics solutions that drive business insights and decision-making. This job is open for graduates. Responsibilities Development of multi-agent AI workflows for autonomous decision-making and task execution, and agent-to-agent communication. Integrate large language models (LLMs), APIs, environments, or agents for enhanced execution and decision-making. Optimize AI models for performance, safety, and cost-effectiveness. Monitor AI behavior and ensure security, privacy, and ethical AI practices in all deployments. Implement RAG pipelines to improve contextual retrieval and knowledge grounding. Collaborating with cross-functional teams to develop new features and improve existing ones. Ensuring all quality controls and processes are adhered to. Research and stay updated with the latest advancements in AI, ML, and data science techniques. Skills/Qualifications Bachelor’s in Computer Science, AI/ML, Mathematics, or a related field. Strong Python programming skills and knowledge about ML frameworks. Familiarity with Agentic frameworks (LangChain, AutoGen, CrewAI, or similar frameworks) and LLM orchestration. Must have a problem-solving mindset.

Job Description An experienced and detail-oriented professional responsible for managing and overseeing the flow, accuracy, and security of project documentation across departments. The Senior Document Controller ensures compliance with document control procedures, maintains version control, and supports audits and quality assurance processes. Skilled in using document management systems (e.g., SharePoint, Aconex, Procore), they collaborate with project teams, vendors, and stakeholders to ensure timely distribution, retrieval, and archiving of critical documents. Responsibilities Prepare plans, procedures and guidelines for document control. Lead and oversee the document control team Distribute the work to the document control team. Coordinate with the project team for any document control requirements. Experience in EDMS System Implementation. Organise training for EDMS and document control to project team and document controllers. Prepare daily IN-OUT log/register and document control reports. Processes documents in accordance with this procedure and the project's requirements. Provides control, coordination, publication and traceability of documentation. Ensures all documents to be published and submitted as per the Document Management Process. Ensures all documents have the correct identifying number and revision level. Confirms the document revision level and the attributes in EDMS. Liaison with Client when required. Upload documents into EDMS system. Assists in document preparation and encourages correct formatting and template usage for all documents. Maintains the general document templates; and Supports the project team with administrative and functional tasks. Maintain clear documentation for audit. Circular and inform all the project team during the entry and exit of each document. Prepare daily IN-OUT log/register. Qualifications Diplôma/Bachelors degree Minimum of 8-10 years of experience in handling bigger projects Experience in working with Project Management Consultant Prior experience with Aconex, Share Point, Primavera, ProjectWise or other document control software and MS Word and Excel. Prior experience organizing, managing, and operating document control systems. Ability to retrieve, organize and assemble documents to satisfy information needs of other project staff Excellent communication and organizational skills, both orally and written, including written reports and summaries, and presentations Excellent, attention to detail, analytical skills, interpersonal skills, ability to multitask, experience with vendor audits.

Job Description Join our Control, Finance & Operating (CF&O) Artificial Intelligence (AI) Strategies (Strats) team at Goldman Sachs and play a pivotal role in advancing AI initiatives to drive operational efficiency and enhance processes through cutting-edge AI and Generative AI (GenAI) modeling and automation. You will get to work on one of the firm’s priorities for 2025, and leverage AI solutions to accelerate and transform business technology as well as enhancing the productivity of our people. As a CF&O AI Strategist, you will be at the forefront of designing, developing, and implementing innovative AI solutions across diverse areas including Risk, Controllers, Legal, and other critical domains. This exciting opportunity will see you collaborating with key stakeholders from these divisions to strategically deploy prioritized AI applications, thereby significantly improving our operational efficiency and improving productivity. The CF&O AI Strats team operates horizontally across CF&O divisions, with a clear mandate to strategically roll out impactful AI applications. Key Responsibilities Design, develop, and implement advanced AI and GenAI solutions to address complex challenges in Risk, Controllers, Legal, and other domains. Collaborate with stakeholders from various divisions to identify and prioritize AI applications that can drive operational efficiency and process improvements. Leverage state-of-the-art GenAI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and other advanced methodologies, to develop robust AI models and solutions. Partner with business leaders and classic business teams to understand their needs and integrate AI solutions seamlessly into their workflows. Work closely with Goldman Sachs Engineering teams to leverage their technical solutions and infrastructure, ensuring the successful deployment and scalability of AI applications. Continuously monitor and evaluate the performance of AI models, making necessary adjustments to optimize their effectiveness and accuracy. Stay abreast of the latest advancements in AI and GenAI technologies, and proactively identify opportunities to incorporate these innovations into our AI strategies. Qualifications, Experience, And Attributes Bachelor's degree or higher in a quantitative subject such as Computer Science, Mathematics, Statistics, Engineering, or a related field. Proven commercial experience in designing, developing, and implementing AI and GenAI solutions, with a strong focus on practical applications and real-world impact. Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI methodologies. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into effective AI solutions. Excellent collaboration and communication skills, with the ability to work effectively with both technical and non-technical stakeholders. A proactive and innovative mindset, with a passion for staying at the forefront of AI and GenAI advancements and applying them to solve business challenges. Strong programming skills in languages commonly used in AI development, most importantly Python. Familiarity with AI and machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, is desirable. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer

Job Summary Gen AI Technical Product Manager Overview: The GenAI Technical Product Manager having expertise to deal use cases exploration as business analyst, Architect develops and implements GEN AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Develop architecture roadmap and strategy for GenAI Platforms and tech stacks. This role will focus on the technical development, deployment, and optimization of GenAI solutions, ensuring alignment with business strategies and technological advancements. Responsibilities: Develop cutting-edge architectural strategies for Gen AI components and platforms, leveraging advanced techniques such as chunking, Retrieval-Augmented Generation (RAG), Ai agents, and embeddings. Balance build versus buy decisions, ensuring alignment with SaaS models and decision trees, particularly for the PepGenX platform. Emphasize low coupling and cohesive model development. Lead working sessions for Arch Alignment, pattern library development, GEN AI Tools Data Architect alignment, tag new components to reuse (components reuse strategy), patterns of the usecases, reuse components ( save efforts, time money). Lead the implementation of LLM operations, focusing on optimizing model performance, scalability, and efficiency. Design and implement LLM agentic processes to create autonomous AI systems capable of complex decision-making and task execution. Work closely with data scientists and AI professionals to identify and pilot innovative use cases that drive digital transformation. Assess the feasibility of these use cases, aligning them with business objectives, ROI and leveraging advanced AI techniques. Gather inputs from various stakeholders to align technical implementations with current and future requirements. Develop processes and products based on these inputs, incorporating state-of-the-art AI methodologies. Define AI architecture and select suitable technologies, with a focus on integrating RAG systems, embedding models, and advanced LLM frameworks. Decide on optimal deployment models, ensuring seamless integration with existing data management and analytics tools. Audit AI tools and practices, focusing on continuous improvement of LLM ops and agentic processes. Collaborate with security and risk leaders to mitigate risks such as data poisoning and model theft, ensuring ethical AI implementation. Stay updated on AI regulations and map them to best practices in AI architecture and pipeline planning. Develop expertise in ML and deep learning workflow architectures, with a focus on chunking strategies, embedding pipelines, and RAG system implementation. Apply advanced software engineering and DevOps principles, utilizing tools like Git, Kubernetes, and CI/CD for efficient LLM ops. Collaborate across teams to ensure AI platforms meet both business and technical requirements. Spearhead the exploration and application of cutting-edge Large Language Models (LLMs) and Generative AI, including multi-modal capabilities and agentic processes. Oversee MLOps, automating ML pipelines from training to deployment with a focus on RAG and embedding optimization. Engage in sophisticated model development from ideation to deployment, leveraging advanced chunking and RAG techniques. Effectively communicate complex analysis results to business partners and executives. Proactively reduce biases in model predictions, focusing on fair and inclusive AI systems through advanced debiasing techniques in embeddings and LLM training. Design efficient data pipelines to support large language model training and inference, with a focus on optimizing chunking strategies and embedding generation for RAG systems. Proven track record in shipping products and developing state-of-the-art Gen AI product architecture. Experience: 10-15 years of experience with a strong balance of business acumen and technical expertise in AI. 5+ years in building and releasing NLP/AI software, with specific experience in RAG , Agents systems and embedding models. Demonstrated experience in delivering Gen AI products, including Multi-modal LLMs, Foundation models, and agentic AI systems. Deep familiarity with cloud technologies, especially Azure, and experience deploying models for large-scale inference using advanced LLM ops techniques. Proficiency in PyTorch, TensorFlow, Kubernetes, Docker, LlamaIndex, LangChain, LLM, SLM, LAM, and cloud platforms, with a focus on implementing RAG and embedding pipelines. Excellent communication and interpersonal skills, with a strong design capability and ability to articulate complex AI concepts to diverse audiences. Hands-on experience with chunking strategies, RAG implementation, and optimizing embedding models for various AI applications. Qualifications: - Bachelor’s or master’s degree in computer science, Data Science, or a related technical field. - Demonstrated ability to translate complex technical concepts into actionable business strategies. Experience in data-driven decision-making processes. - Strong communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. - Proven track record in managing and delivering AI/ML projects, with a focus on GenAI solutions, in large-scale enterprise environments.

Data Science Intern: AI & Life Sciences (Paid) Location: Pune (Hybrid) Type: Paid Internship (6 months, potential extension/absorption) Company: Dizzaroo – Transforming Drug Discovery Development with AI About Dizzaroo At Dizzaroo, we are building AI-first tools to transform drug discovery development . We explore, unravel, and organize complex biological, clinical, and scientific data to help bring new treatments to patients faster. We value bold ideas, flexibility, and a “no idea is a crazy idea” mindset. Role Overview We are seeking Data Science Interns to join our team in curating and cleaning specialized datasets for AI model fine-tuning in the life sciences domain . You will work with structured data (clinical, biomedical, genomic) and unstructured data (scientific publications, clinical protocols) to build high-quality datasets for our AI workflows supporting drug discovery development. This is a unique opportunity to gain hands-on experience at the intersection of AI, data science, and life sciences while working with cutting-edge tools and graph-based data infrastructure. What You Will Do Curate, clean, and annotate domain-specific datasets , including: Scientific publications, clinical protocols, and regulatory documents for training large language models. Biomedical and genomic data for structured AI pipelines. Use advanced tools and databases (Weaviate, Neo4j, SQL/NoSQL) to organize and manage large-scale, multimodal datasets . Support data pipeline validation and quality checks to ensure clean, structured training data for AI models. Assist with document chunking, metadata tagging, and knowledge graph development to enhance retrieval and structuring of scientific and clinical data. Collaborate with AI engineers and domain experts to align data curation with project goals . What We’re Looking For Background: Pursuing or recently completed a Bachelor's/Master’s in Data Science, Computer Science, Life Sciences, Biomedical Engineering, or related fields. Skills: Strong in at least one domain with working knowledge of the other: If your strength is data science , you should have: Proficiency in Python (libraries like pandas, numpy, pytorch). Exposure to SQL , and ideally to graph/vector databases (Neo4j, Weaviate). Experience with data cleaning, ETL workflows, or text processing (NLP preprocessing) . Curiosity to understand life sciences contexts . If your strength is life sciences , you should have: Knowledge of biomedical or clinical data structures , scientific literature, or genomics. Ability to use Python or spreadsheets for basic data analysis . Interest in applying data science tools to life sciences problems. Mindset: Comfortable with ambiguity and learning complex domain contexts. High attention to detail with a commitment to data quality . Aligns with Dizzaroo’s values of creativity, flexibility, and challenging the status quo. What You Will Gain Exposure to real-world AI model training pipelines using structured and unstructured data in drug discovery development. Experience with advanced data infrastructure and tooling for cutting-edge AI workflows. Opportunity to contribute to impactful projects across knowledge management, multimodal data integration, and computer vision in diagnostics . Potential pathway to full-time opportunities with Dizzaroo based on performance. How to Apply Send your CV and a brief note on why you are interested in this role to kalpeshp@dizzaroo.com with the subject:

As the Head of AI Platforms (f/m/d) , you will lead the design, management, and evolution of Siemens’ AI platform ecosystem, encompassing advanced technologies such as machine learning, deep learning, and generative AI. Your role emphasizes empowering data teams and developers to maximize AI capabilities, ensuring Siemens remains at the forefront of AI innovation with robust and scalable solutions. Incorporate cutting-edge generative AI methodologies, including Retrieval-Augmented Generation (RAG) and Agentic AI, to enhance performance and creativity within AI applications. Foster collaboration with leading AI innovators such as OpenAI, Anthropic, and Mistral, leveraging their advancements and insights to drive Siemens' AI strategy. Your Problem-Solving Mindset Creates Real Business Value Take on this crucial role and deliver tangible business value through your innovative problem-solving skills. As the Head of AI Platforms, you will architect Siemens' AI infrastructure to not only meet current demands but anticipate future requirements in a rapidly evolving digital landscape. Embrace generative AI elements like RAG and Agentic AI, enabling Siemens to leverage AI that is both innovative and adaptive. Cultivate partnerships with AI leaders like OpenAI, Anthropic, and Mistral to integrate state-of-the-art technologies and methodologies. Your primary responsibility will be to cultivate and guide a high-performing team of AI specialists who ensure the reliability, scalability, and excellence of our AI platform offerings. Providing mentoring, addressing challenges, and enabling developmental opportunities will be key to team success. You will ensure that the AI platforms integrate with the other Siemens Data & AI Cloud (SDC) services like Snowflake, for a seamless user experience. Champion an agile working environment, instilling methodologies that enhance productivity and responsiveness. Oversee critical areas such as resource allocation, risk mitigation, and reporting to streamline operations for Siemens’ success. Build strategic partnerships with internal clients and stakeholders, enhancing Siemens' ability to harmonize AI solutions. Take ownership of pivotal projects and work closely with business units to achieve exceptional outcomes. Stay informed about emerging technologies in generative AI and system integration, advocating for their adoption to reinforce Siemens' leadership in AI accessibility and management. Use Your Skills To Move The World Forward Education: University Degree in Mathematics, Computer Science, Business Administration, or equivalent practical experience Experience & Skills Over 3 years of leading international AI-platform-focused teams and more than 2 years in people management roles Superior communication, mediation abilities, and customer-centric approach Expertise in program management related to AI platforms, analytics, and technology integration Proficiency in cloud environments such as AWS, Azure, or Google Cloud Platform Strong understanding of AI governance, compliance, and security standards Development of scalable AI infrastructures, including machine learning pipelines and platforms Proficient in emerging AI tools and technologies, with the ability to implement AI strategies effectively Experience with Retrieval-Augmented Generation (RAG) and Agentic AI Clear communication with senior management and skilled mentoring of AI and data science teams Familiarity with agile methodologies including Scrum Languages: Business fluency in English and strategic thinking to translate technical concepts into business impact You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you! Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. What We Offer You An attractive remuneration package Access to Siemens share plans 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family 2 to 3 days of mobile working per week as a global standard Up tp 30 days workation per year in certain countries (Global) development programs that can be customized according to your wishes and ambitions Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here. The individual benefits are subject to regulatory, contractual, or corporate conditions. About Us At Siemens, we are leading the way with groundbreaking digitalization strategies that are revolutionizing industries. Our AI platforms, tools, and security systems empower developers to realize these innovations. As the Head of AI Platforms, you’ll leverage advanced AI technologies, including generative AI, utilize your IT expertise, and drive enterprise transformation. Work behind the scenes but make an impactful difference! Join us to harness our resources and engage with a global network of dedicated IT professionals. Welcome to our world of exciting opportunities! www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens. FAQ – if you need further information on the application process.

About Us At AllEvents, we're driven by a simple yet powerful mission: to make every day feel like the best day ever. We connect people to the experiences that enrich their lives, from vibrant concerts and insightful conferences to the unique local gatherings that spark joy. We believe in the power of events to create unforgettable moments, and we're dedicated to making them more accessible and engaging. That's where you come in. We're seeking a skilled and passionate Flutter Developer to join our team and enhance our mobile experience. You'll be instrumental in building seamless, high-performance apps that connect users with the events they love. Your contributions will help us amplify the magic of events worldwide, making unforgettable moments accessible on the go. Responsibilities Develop mobile applications for iOS and Android platforms using the Flutter framework. Implement pixel-perfect UI designs and ensure smooth and engaging user experiences. Integrate with backend services and APIs to enable data retrieval and storage. Collaborate with designers, product managers, and backend developers to translate requirements into technical solutions. Write clean, maintainable, and efficient code following best practices and industry standards. Conduct thorough testing and debugging to ensure app stability and resolve any issues. Optimize app performance to deliver a smooth and responsive user experience. Stay up-to-date with the latest trends, technologies, and advancements in Flutter and mobile app development. Continuously improve development processes and contribute to the team's knowledge-sharing initiatives. Requirements 1+ years of experience in mobile application development using the Flutter framework. Proficiency in Dart programming language. Strong understanding of UI/UX principles and ability to translate design concepts into functional user interfaces. Familiarity with different architectural patterns (e.g., MVC, MVVM, Riverpod) and state management techniques in Flutter. Experience in integrating with backend services and working with RESTful APIs. Knowledge of version control systems, preferably Git. Familiarity with mobile app testing frameworks and debugging tools. Strong problem-solving and analytical thinking skills. Excellent communication and collaboration abilities. Ability to adapt to changing requirements and work in a fast-paced environment.

Role: Data Analytics Experience: 8+ Years Location: Hyderabad Notice: 10 Days less A data analytics professional using Power BI would be responsible for designing and developing dashboards and reports, analyzing data to identify trends and insights, and collaborating with stakeholders to ensure data accuracy and accessibility, all while focusing on project performance and decision-making. Key Responsibilities: Data Analysis & Visualization: Gather, clean, and prepare data from various sources, including databases. Design and develop interactive dashboards and reports using Power BI to visualize key project metrics and performance indicators. Analyze data to identify trends, patterns, and insights that can inform project decisions. Create and maintain data models for efficient data retrieval and analysis. Collaboration & Communication: Work closely with PMO staff, project managers, and other stakeholders to understand their data needs and requirements. Translate business requirements into technical specifications for Power BI dashboards and reports. Communicate findings and insights clearly and concisely to stakeholders, using data visualizations and reports. Database Access & Data Quality: Ensure data accuracy, integrity, and security within Power BI systems and databases. Collaborate with database administrators to manage data access and permissions. Troubleshoot data issues and maintain the Power BI infrastructure. PMO Support: Support project managers in monitoring project performance and identifying potential risks. Provide data-driven insights to improve project planning, execution, and control. Contribute to the development and implementation of PMO processes and methodologies. Skills & Qualifications: Technical Skills: Strong proficiency in Power BI, including data modeling, DAX, and Power Query. Experience with SQL or other database languages. Data analysis and visualization skills. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience: Experience in project management or PMO environments is a plus. Experience with data analytics and business intelligence tools.

Atologist Infotech is looking for an experienced and forward-thinking AI Engineer to help shape and scale our AI Agent Framework. This is a hands-on engineering role focused on building intelligent, modular agent systems that can reason, plan, and interact autonomously in real-world applications. You will work alongside a highly collaborative team to develop systems that leverage LLMs, contextual memory, and tool integration—delivering AI-native applications, not just traditional ML pipelines. Key Responsibilities AI Agent System Development--Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning. Framework Engineering--Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. Contextual Intelligence--Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behaviour. Natural Language Interfaces--Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities. API Engineering--Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. System Architecture--Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. Ethical AI--Prioritize responsible AI design with user safety, transparency, and privacy at the core. Required Skills & Qualifications Education--Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Python Proficiency--Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing. AI/LLM Experience--Practical experience of 3 YEARS using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. Frameworks & Tools--FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ) Version Control & Testing--Proficient with Git workflows and writing tests using Pytest or similar. Bonus Skills (Nice-to-Have) Experience with autonomous agents, tool-calling, or memory-driven task systems Familiarity with cognitive architectures or symbolic reasoning Contributions to open-source AI frameworks or tooling

OPENTEXT OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. Your Impact At OpenText, we are looking at motivated highly passionate Full-Stack developer for the AI development team, which is part of ITOMs OpsBridge team. The candidate must have the experience, talent, skill set and confidence to work with world-class development team at the OpenText office in Bengaluru, India. What It Takes Collaborating with teams with diverse expertise to work on Java, J2EE with machine learning, and AI projects. Develop, design, and deploy large-scale models and AI strategies for improving search results, understanding documents, processing queries, retrieval-augmented generation (RAG), and personalized recommendations. Work closely with AI technology and engineering teams to take models from development to production and make them operational. Own the critical modules of core products and enhance the product to meet customer and architecture expectations in an ongoing basis. Review and evaluate designs to ensure long term adaptability and sustainability. Champion processes that ensure very high quality product releases Ensure timely release of high quality product releases. Own and drive high quality resolution of product technical issues. Encourage and contribute to innovation aligned with the business Coach mentor junior engineers and new members into the team What You Need To Succeed Bachelor's or Master's Engineering degree in Computer Science, Information Systems, or equivalent. Typically 4 to 5 years experience. Experience in Java, Spring, with strong understanding of Object Oriented programming, design concepts. Good analytical, Problem solving skills with ability to quickly adapt to new technologies and tools Proficient in Python programming with a solid understanding of data structures. Experience in enterprise product requirements such as security, high scale, multi-tenancy, high availability, supportability etc (Docker, Kubernetes). Good understanding of version control systems, preferably GIT. Excellent communication skills, team work. Familiar with Agile development methodologies such as SAFe. One Last Thing Experience with AI/ML, Learning LLM Familiarities with Cloud, AWS platform Exposure in JS, HTML, CSS with front end developing. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at hr@opentext.com. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Role: Data Analytics Experience: 8+ Years Location: Hyderabad Notice: 10 Days less A data analytics professional using Power BI would be responsible for designing and developing dashboards and reports, analyzing data to identify trends and insights, and collaborating with stakeholders to ensure data accuracy and accessibility, all while focusing on project performance and decision-making. Key Responsibilities: Data Analysis & Visualization: Gather, clean, and prepare data from various sources, including databases. Design and develop interactive dashboards and reports using Power BI to visualize key project metrics and performance indicators. Analyze data to identify trends, patterns, and insights that can inform project decisions. Create and maintain data models for efficient data retrieval and analysis. Collaboration & Communication: Work closely with PMO staff, project managers, and other stakeholders to understand their data needs and requirements. Translate business requirements into technical specifications for Power BI dashboards and reports. Communicate findings and insights clearly and concisely to stakeholders, using data visualizations and reports. Database Access & Data Quality: Ensure data accuracy, integrity, and security within Power BI systems and databases. Collaborate with database administrators to manage data access and permissions. Troubleshoot data issues and maintain the Power BI infrastructure. PMO Support: Support project managers in monitoring project performance and identifying potential risks. Provide data-driven insights to improve project planning, execution, and control. Contribute to the development and implementation of PMO processes and methodologies. Skills & Qualifications: Technical Skills: Strong proficiency in Power BI, including data modeling, DAX, and Power Query. Experience with SQL or other database languages. Data analysis and visualization skills. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience: Experience in project management or PMO environments is a plus. Experience with data analytics and business intelligence tools.

Followings will be the Core Job Responsibilities of the position holder: 1. Preparation, Issuance, Retrieval & archival of Mastet documents SOP (Forms & Records), Spec & STP (RM, SFG & FG) and other Master documents (List, SMF, VMP, Quality Manual), Master Lists. 2. DARIUS - Software Handling and Compliance 3. Master List – SOP, Spec & STPs etc. 4. Issuance of requested Uncontrolled Master documents for closure of CCP/ Exception & requested by cross function department outside the Plant for Reference Purpose. 5. Controlling of General Document Number. 6. To ensure documentation of out of specification, Exception, and Change Control. 7. To ensure the effective implementation of QMS through SolTRAQs application system. 8. To ensure the effective artwork through harmony. 9. Preparation of Maximum Retail Price List. 10. Annual Product Quality Review –Preparation of Annual Product Quality Review as per SOP timelines and to identify the improvement areas or recommendations. 11. To perform CAPA effectiveness check activity related to Audit Compliance CAPAs. 12. Preparation for the Training Materials, Coordination with the cross functions for the execution of the trainings as per plan. 13. Updation of the Employee, courses, modules, and other amendments in ISOtrain system. 14. Past due trainings follow – up and reconciliation. 15. Maintaining the records of GMP/Technical training and QA department training. 16. To follow all the practices related to Safety and COBC. 17. All miscellaneous activities as assigned by seniors. In absence of the position holder, the sub-ordinate Executive / Manager working in the section, or the authorized designee (as applicable) shall be responsible for day to day working.