12397 Regression Jobs - Page 7

Summary As a Product Test, Professional 2 at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. Your role in our mission Test your knowledge and expertise in vital ways as you assist in developing innovative, purpose-built technologies. Participate in testing for software product development or support projects to measure the quality of functional (business) system components and the ability to meet business specifications Bring your skills to test planning, scheduling and managing test resources Lead formal test execution phases for larger projects Apply basic knowledge of the industry, functional software product/suites and regulatory issues as you conduct functional testing, diagnose system issues and write integration and system test scripts; configure test questionnaires and other test materials Keep track of the details as you maintain defect reports and updates after regression testing What we're looking for 3 or more years of software product testing experience, inc. development and execution of test-ware from functional design documents in compliance regulatory statutes Knowledge of configuration management, defect tracking, query tools, software productivity tools and templates used to create test scripts and trace matrices Strong verbal and written communication skills to present findings to team members, effectively interact with client during project team meetings and enable the writing of step-based test materials Good organization, people management and time management skills complemented by analytical problem-solving skills to effectively drive impact for our clients A collaborative team player who can work effectively with a diverse global team distributed across geographies and time zones What you should expect in this role Opportunities to travel through your work (0-10%) Competency1 Competency2 Competency3 Competency4 Competency5

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Summary -Specialist for project delivery and/or operations in the given business sub -capability. -Partner with Business Stakeholders and DDIT Strategic Business Partners for demand analysis, solution proposal/evaluation and project delivery -Drive operations of systems and applications in scope (both Global and Local), ensuring their stability and integrity and meeting customer service levels. About the Role Key Responsibilities: Define, build and implement enhancements to HR/P&O processes and structures that will improve the P&O function’s alignment to business objectives and ability to help drive business results Review and troubleshoot integration, Triage and solve issues, Application support/ tweaking the written code Define, build and implement enhancements to HR/P&O processes and structures that will improve the P&O function’s alignment to business objectives and ability to help drive business results Own/Participate in the following key activities: Release Management, Regression Testing, Tenant Management, Data Upload, Major Outage/Communication/Updates and Incident Management Manage Application Life Cycle services with WFS Ensure that system designs adhere to solution architecture design (i.e. high-level conceptual design) and are traceable to functional as well as non-functional requirements in projects/enhancements Ensure the overall user experience is taken into account when designing new solutions and services are peer reviewed, formally documented and signed off by business Ensure system design standards are defined to improve and sustain standardization of solutions adhere to architectural roadmap and support the development, execution and operations of solutions Core WorkForce Competencies (knowledge and skills): Hands-on experience with WorkForce Suite offer, including Time & Attendance, Absence Management, and Advanced Scheduling. Knowledge of Analytics module is an advantage Expertise in configuration and troubleshooting , including business rules, custom validations, and data mapping. Integration experience , including working with APIs, connectors, and middleware tools like SAP or other HRIS platforms and payroll technology. Experience with system architecture, tenant management, and version upgrades. WFS certification is an advantage Essential Requirements: Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline 7+ years of IT experience, knowledge of the HR function and processes is must At least 1end-to-end WFS implementation of core Workforce suite in a lead role or worked in Operations team for WFS support. Experience in all phases of the technology implementation lifecycle (requirements gathering, design, build, go-live, testing) Experience leading requirements gathering workshops or facilitating meetings Ability to interact at all levels of the organization Ability to manage work, lead as necessary and mentor team members Ability to do business consult independently and take decisions Strong problem solving and troubleshooting skills with the ability to exercise mature judgment Excellent interpersonal skills along with strong written and verbal communication and the ability to communicate effectively to non-technical audiences as well as senior technical personnel. The individual should have the ability to work effectively as an individual or in a team environment. Excellent teamwork and interpersonal skills Experience as a partner or client of Workforce through an implementation journey Understanding of payroll and time processes and exposure to payroll technology Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Operations Business Unit CTS Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Technology Transformation Job Type Full time Employment Type Regular Shift Work No

Job Description Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 2-4 years of experience working as a Data Scientist. 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 2+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 2+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills – Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) – Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics ‘product’ creation. Experience in Reinforcement Learning is a plus. Experience in Simulation and Optimization problems in any space is a plus. Experience with Bayesian methods is a plus. Experience with Causal inference is a plus. Experience with NLP is a plus. Experience with Responsible AI is a plus. Experience with distributed machine learning is a plus Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred) Model deployment experience is a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is preferred Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills Stakeholder engagement-BU, Vendors. Experience building statistical models in the Retail or Supply chain space is a plus

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Category: Business Consulting, Strategy and Digital Transformation Main location: India, Andhra Pradesh, Hyderabad Position ID: J0725-2057 Employment Type: Full Time Position Description: 5-8 years of experience in test case design at different levels (component/service, integration, automation, end to end user scenarios) Hands-on Experience with Test Automation tools – Cucumber, BDD, Selenium 3+ years of hands on experience in script development using programming languages (e.g., Java) – good to have Strong experience in testing REST API’s based on springboot framework and Java based applications Experience using source configuration tools (Git, SVN, and JENKINS etc.) Experience with SQL Experience with designing and implementing Test Lifecycle Experience in a QA/test environment with a focus on technical, automated testing in a variety of environments such as Unix OS, Mainframe, cloud, distributed, services/apis, databases Experience in PVS and logging Experience working with Agile framework Very good communication skills, ability to focus and prioritize and solve complex technical problems Computer Engineering, Computer Science or related (technical) degree/diploma Tools: IntelliJ, Postman, SOAPUI, Dynatrace and Neoload , Putty, WinSCP, Rally, Jira FUTURE DUTIES AND RESPONSIBILITIES Contribute to projects/program test strategies and plans for test Automation. Responsible for the adoption of quality engineering practices and train junior resources Provide feedback on quality of deliverables and escalate quality issues Uses tools for defect management, regression, performance or automation testing Responsible for creating, maximizing automation and executing high complexity test cases for assigned programs/projects through the application lifecycle (functional or non-functional) You will design, execute and automate test plans based on business requirements to ensure quality delivery of software Partners across IT and with assigned business lines to test new or existing software in order to ensure requirements are met. Responsible for providing accurate and detailed work status to project team/teams and QE Manager DESIRED QUALIFICATIONS/NON-ESSENTIAL SKILLS REQUIRED Experience working in agile environments Demonstrated ability and interest in learning new technologies Candidates should be self-starters and have the ability to work in a fast paced, demanding, and rapidly changing environment Ability to perform detailed analysis of business problems and technical environments. Strong oral and written communication skills. Strong teamwork and collaboration skills. Health Care / Health Services business area subject matter expertise preferred Bachelor’s degree in Computer Science on related discipline with at least 5+ years of recent experience designing, developing, deploying, and supporting computing applications in a large-scale, midrange, and distributed environment as versatile QA/QE resource Skills: Cucumber Jenkins Selenium SQL What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

About The Company Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us! About The Role We are looking for a seasoned SDET to help us keep a check on the quality of products. If you are passionate about quality and want to help make an impact in our organisation then we have a perfect role for you! Responsibilities Automation Framework Development: Design, develop, and maintain reusable automation test scripts and frameworks for both web and mobile web using Java, Selenium, and Appium. Test Script Execution: Execute automated test scripts, analyze results, and troubleshoot issues for continuous integration and testing cycles. Test Case Automation: Work closely with the QA team to convert manual test cases into automated test scripts for regression, functional, and performance testing. Cross-Browser and Cross-Platform Testing: Implement automation for cross-browser testing (using Selenium) and cross-platform mobile browser testing (using Appium) to ensure compatibility across different environments and devices. Continuous Integration: Integrate automated test scripts with CI/CD pipelines (e.g., Jenkins, GitLab) to enable continuous testing in an agile environment. Bug Reporting & Documentation: Log and track issues in a bug tracking system (e.g., JIRA), providing clear and detailed reports on findings, along with test coverage metrics and areas of improvement. Collaboration: Collaborate with functional testers and other stakeholders to understand requirements and improve automation testing strategies. Test Data Management: Ensure the availability of appropriate test data for automated testing and manage test environments effectively. Maintenance: Continuously maintain and update automated test scripts to accommodate changes in application functionality and improve testing efficiency. Requirements Strong Programming Skills: Proficient in Java with hands-on experience writing automated test scripts. Automation Tools: Expertise in using Selenium for web application automation and Appium for mobile application automation (Android/iOS). Test Automation Frameworks: Experience designing and implementing test automation frameworks (e.g., TestNG, JUnit, or Cucumber) for both web and mobile applications. Continuous Integration: Familiarity with CI/CD tools like Jenkins, GitLab, or similar for integrating automated tests into the development pipeline. Version Control Systems: Proficient in using Git for source code versioning and management. Test Case Design: Strong experience in creating and managing test cases, test plans, and related documentation. Problem-Solving Skills: Excellent debugging and troubleshooting skills for resolving issues during test automation execution. Understanding of SDLC: Knowledge of the Software Development Life Cycle (SDLC), particularly Agile methodologies and working in Agile teams. Desired Skills Mobile Testing: Hands-on experience testing and automating applications on mobile browsers using Appium . Cloud Testing: Familiarity with cloud-based testing platforms (e.g., Sauce Labs, BrowserStack) for cross-browser and cross-device testing. CI/CD Automation: Ability to set up and maintain automation scripts in CI/CD pipelines for continuous testing and delivery. Version Control Best Practices: Strong knowledge of Git workflows, including branching, merging, and conflict resolution. Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent work experience). 5 years of hands-on experience in test automation using Java, Selenium, and Appium. Benefits Opportunity to work with a talented team in an innovative and collaborative environment Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Job Description Overview Provide advanced analytics support for the LATAM Sector in the Insights Services Center; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the National / Regional / State /City level.Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of LATAM. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Centero Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisionso Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolioo Support LATAM region’s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targetso Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability.o Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc.o Forecast market growth leveraging (PGM – an internal tool) on an annual basis to inform PEP’s long-term expectations for growtho Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies o Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in LATAM and region officeso Own flawless execution of analytics exerciseso Responsible for managing multiple priorities; being able to manage deadlines and deliverableso Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projectso Deliver outputs in line with the agreed timelines and formatso Flag and monitor any business risks related to delivering the requested outputso Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operationso Improve existing processes based on frequent Business Partner & end-user feedback loop Qualifications • 6+ years of experience in the field of analytics• Ability to convert insights into story that answers critical business questions. • Hands on in coding in tools like R and Python ( both or at least • Hands on in MS excel(advanced) and SQL• Understanding of data structures, adept in data cleaning, structure, and aggregation as per need• End-to-end project management.• Expert of statistical techniques like regression, forecasting, decision trees and modelling process- concept and coding. • Ability to design model architecture and translate business problem into analytical problem• Ability to visualize data set and identify KPIs that will help decision making. • Good PowerPoint skills.• Experience in ML techniques, cloud compatible tech stacks, understanding of data pipeline creation preferable

Work Experience 1. Good fundamentals in analog and mixed signal circuit concepts and topologies. 2. Experience working with mixed signal verification environment, simulation, and regression tools such as Cadence Virutuoso, Spectre, xCelium, Incisive, vManager, IMC 3. Ability to read analog schematics and extract related main functionality. 4. Familiar with Verilog based RTL coding and ASIC design methodology. 5. Experience in System Verilog for advanced verification methodologies such as assertions, constrained randomization, metric driven, and UVM. 6. Familiar with behavioral modelling of analog blocks using System Verilog (RNM) and VerilogAMS. 7. Experience in modelling analog & mixed signal blocks. 8. Some knowledge of UNIX shell scripting, Perl, Python and TCL scripting.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of this role is to lead the VLSI development and design of the system by defining the various functionalities, architecture, layout and implementation for a client ͏ Do 1. Lead end to end VLSI components & hardware systems a. Design, analyze, develop, modify and evaluate the VLSI components and hardware systems b. Determine architecture and logic design verification through software developed for component and system simulation c. Analyze designs to establish operating data, conducts experimental tests and evaluates results to enable prototype and production VLSI solutions d. Conduct system evaluations and make appropriate recommendations to modify designs or repair equipment as needed e. Allocates modules for testing and verification and reviews data and project documentation f. Provides guidance on technical escalations and review regression testing data g. Prepares documentation containing information such as test case and product scripts for IP and publishes it to the client for feedback and review h. Ensures all project documentation is complete and uploaded as per technical specifications required by the client 2. Provide customer support & governance of VLSI components & hardware systems a. Identify and recommend system improvements to improve technical performance b. Inspect VLSI components & hardware systems to ensure compliance with all applicable regulations and safety standards c. Be the first point of contact to provide technical support to client and help debug specific, difficult in-service engineering problems d. Evaluate operational systems, prototypes and proposals and recommend repair or design modifications based on factors such as environment, service, cost, and system capabilities ͏ 3. Team Management a. Resourcing i. Forecast talent requirements as per the current and future business needs ii. Hire adequate and right resources for the team iii. Train direct reportees to make right recruitment and selection decisions b. Talent Management i. Ensure 100% compliance to Wipro’s standards of adequate onboarding and training for team members to enhance capability & effectiveness ii. Build an internal talent pool of HiPos and ensure their career progression within the organization iii. Promote diversity in leadership positions c. Performance Management i. Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. ii. Incase of performance issues, take necessary action with zero tolerance for ‘will’ based performance issues iii. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ii. Track team satisfaction scores and identify initiatives to build engagement within the team iii. Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team iv. Exercise employee recognition and appreciation ͏ Deliver No. Performance Parameter Measure 1. Verification Timeliness, Quality and coverage of verification, Compliance to UVM standards, Customer responsiveness 2. Project documentation and MIS 100% on time MIS & report generation Complete Project documentation (including scripts and test cases) 3. Team % trained on new skills, Team attrition %, Employee satisfaction score (ESAT) ͏ Mandatory Skills: VLSI Physical Place and Route. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Overview: NRM strategy Playbook - Associate plays a pivotal role in our organization, with a primary focus on brand ladder and price pack architecture analysis, Mix Management and Promo Strategy. This role encompasses a range of responsibilities related to optimizing our product and pricing strategies to maximize brand equity, profitability, and consumer engagement. Key responsibilities of the Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate include: Conducting in-depth market research and data analysis to identify and evaluate brand positioning / price pack architecture opportunities Analyzing consumer behavior and preferences to gain insights into how our brand ladder / pricing strategies impact purchasing decisions Developing and refining brand ladder and PPA models and methodologies to streamline decision-making / enhance operational efficiency Collaborating with cross-functional teams to ensure that our brand and pricing strategies align with overarching business objectives and regulatory requirements Utilizing data-driven insights to enhance the overall consumer experience and perception of our brands and pricing structures Contributing to the long-term brand and pricing strategy of the organization, actively participating in the creation of innovative approaches to optimize brand equity and profitability The Brand Ladder / Price Pack Architecture (PPA) Playbook - Associate leverages advanced analytical skills and tools to shape our brand and pricing strategies, ensuring they are aligned with our strategic goals, compliance standards, and customer satisfaction objectives Responsibilities: Functional Responsibilities Perform advanced analytics using Tableau/Power BI and develop predictive models, regression modeling, price elasticity analysis, and promotion optimization to extract actionable insights from data Collaborate on sector NRM strategic projects, such as promotions optimization, terms priorities, competitor benchmarking, and Price Pack Architecture (PPA) initiatives, to drive revenue realization Conduct statistical and trend analysis to identify market opportunities, highlight sector strengths, and provide recommended corrective actions to enhance performance Monitor existing KPI metrics, develop new relevant metrics, and identify correlations and root causes to support data-driven decision-making Design and build visualization dashboards to accelerate information-to-action at scale, enabling easy access to critical insights for various stakeholders Develop programs, methodologies, and reports for analyzing and presenting data, making data-driven insights accessible and actionable Ensure the timely and accurate submission of reports and data to the Revenue Management teams in line with agreed Service Level Agreements (SLA) Improve the utility of operational and performance data within various teams, supporting Business Intelligence (BI), reporting, analysis, and insights efforts Assist the GBS Commercial lead in developing an ongoing training and capability plan for COE associates, ensuring continuous growth and expertise development within the team Qualifications: Broader data analysis capabilities. Previous experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales Excellent visualisation skills with the ability to translate complex data into actionable solutions and processes, enabling data-driven decision-making Advanced proficiency in Microsoft Excel and a strong command of PowerPoint, with the ability to quickly learn various in-house software applications for data analysis and reporting Working knowledge of Power BI software is added advantage Ability to function effectively in a team environment and collaborate with individuals across the organization, as pricing and promotions strategies often require cross-functional teamwork Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner

Job Description Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com. PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI. Data Scientist-Gurugram and Hyderabad The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Use big data technologies to help process data and build scaled data pipelines (batch to real time) Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines. Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure Automate ML models deployments Qualifications Minimum 3years of hands-on work experience in data science / Machine learning Minimum 3year of SQL experience Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers BE/BS in Computer Science, Math, Physics, or other technical fields. Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models Programming Skills – Hands-on experience in statistical programming languages like Python and database query languages like SQL Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Any Cloud – Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Model deployment experience will be a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is required Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills

General information Country India State Telangana City Hyderabad Job ID 45647 Department Information Technology Experience Level ASSOCIATE Employment Status FULL_TIME Workplace Type On-site Description & Requirements Job Title: QA Analyst, Associate (Manul and Automation) Location: Hyderabad (Permanent Work from Office) Job Type: Full-Time NP: Immediate joiners only Job Description: We are seeking a motivated and detail-oriented QA Analyst Associate with an analytical mindset to join our team. This role offers a unique opportunity to engage in both quality assurance and business analysis, contributing to Infor's success. The ideal candidate should have at least 1 year of experience in software testing or Business Analysis, a solid understanding of testing concepts, and technical skills in automation tools. The candidate should be able to get started on Functional/Automation Testing with minimal coaching or training and possess good logical and programming skills. The candidate will work on applications that are used organization-wide to support business operations. Key Responsibilities: Conduct Functional/Automation Testing of IT applications. Understand and analyse requirements, draft and execute individual story-level test cases, and build a Regression Test Suite. Analyse business processes and workflows to optimize efficiency and improve performance Identify, document, and follow up on defects effectively. Perform regression testing during release upgrades and periodically during sprints to ensure existing functionality is not compromised by new changes. Collaborate with Business Analysts, Developers, and Business stakeholders to understand requirements and resolve issues. Review production bugs and ensure necessary inclusions into the Regression Suite to enhance testing efficiency and coverage. Participate in test automation efforts, including code reviews. Continuously seek opportunities to provide feedback and improve application and team quality. Maintain automation and functional test scripts to reflect the current functionality in the applications. Participate in daily project Scrum meetings and internal team meetings, providing timely updates and escalating issues as needed. Coordinate with peers on self and project QA deliverables. Requirements: Degree in B Tech/BE (Specialization in CSE/IT/ECE) or M.Sc. (Computer Science) or MBA (preferred IT Applications for Management/Finance) or BCA or MCA. At least 1 year of experience required in one or more of the following areas: web application testing, database testing, business analysis, or data analysis. Strong understanding of testing concepts and Agile methodologies. Technical skills in understanding and using automation tools. Good programming skills in languages such as Core Java, Python, or similar. Ability to work independently with minimal supervision. Strong communication skills and the ability to work well both as part of a team and as an individual contributor. Preferred Qualifications: Motivated by contribution, with the ability to adapt to transformation and embrace change effectively. Strong analytical and problem-solving skills. Exhibit strong documentation skills with attention to detail and clarity. Ability to understand a software application from an end-user point of view. Knowledge or experience with test automation frameworks like Selenium, or similar. Familiarity with Agile development methodologies. Knowledge on APIs and SQL. Knowledge of CI/CD practices would be an added advantage. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

About the role About the role This is a fantastic opportunity to join the ResourceLink Bespoke engineering team, delivering specific customer requirements. You will work closely with: The Lead Engineer, taking ownership of the quality of software developed for the ResourceLink application. The Senior Test Manager in ensuring that Quality Assurance best practice and testing processes are adhered to within the team. Lead Engineers and other Test Engineers to ensure test cases comprehensively and accurately validate the required functional specifications of the customer. To role model agile testing best practices, in particular CI/CD pipeline automation. Key responsibilities: Design and implement automated test cases, in support of business strategy, in an efficient and high-quality manner. Review, maintain and improve existing automated tests, closely monitoring the team pipelines to ensure issues are addressed efficiently and effectively. Adhere to Company Policies, Rules, Regulations, Work Timings and Leave Schedules. Role model the use of Azure DevOps (ADO), ensuring accurate completion to promote continuous improvement. Appropriately flag any issues and plans to address to the Lead Engineer to demonstrate ownership of resolution. Respond appropriately and competently to the demands of work challenges when confronted with changes, ambiguity, adversity, and other pressures. Analyze test results and review test data to identify bugs, ensuring that issues are resolved before product release. Assist in regression planning by providing accurate effort estimates, create and maintain tasks accordingly in ADO. Review and monitor progress, manage any issues raised and escalate as necessary to ensure completion according to deadlines. Demonstrate a working knowledge of product functionality, industry testing standards and effective use of required testing tools and techniques. Ensure customer requirement walkthroughs back to the business are rehearsed and conducted successfully by the test team as/when necessary About you: An approachable, supportive and detail orientated individual focused on improving test quality. A passion for achieving excellence in technical process, product quality and reliability. Strong troubleshooting and root cause analysis abilities. Experience in automation frameworks. Ability to work calmly under pressure, making correct decisions, and determining correct priorities Skills & experience Technical Skills: 5 years’ experience as a team member in engineering for Senior Test Engineer and 3 years’ experience for a Test Engineer Cucumber (minimum of 2 years) Java (minimum of 2 years) Selenium / Playwright Azure DevOps Gherkin Syntax: Ability to write test cases in plain language using Gherkin syntax, making them understandable to all team members Experience of working within the HR / Payroll software/service industry Non – Technical Skills: Strong test planning and execution skills Effective communication skills to collaborate with cross-functional teams Strong analytical skills to troubleshoot and resolve complex testing issues Attention to detail Transparency Ability to respond to change Ability to give and respond to feedback Ability to investigate problems and suggest solutions Willingness to stay updated with the latest testing tools, technologies, and best practices Ability to propose innovative ideas, creative solutions Benefits & culture At Zellis we create market-leading HR & Payroll products and services, to power exceptional employee experiences so that you and your people do better. Our multi-award-winning products pay over five million employees a year, with almost half (42%) of the FTSE 100, 50% of the top retailers and 30% of the top universities in the UK & Ireland as customers, making us the largest provider of Payroll and HR software and managed services. Our vision is to be the clear leader in pay, reward, analytics, and people experiences. We're passionate about creating an environment where people want to join, belong to, and be part of a progressive organisation. Our values, which were defined with input from all of our 2,000 colleagues, we live and breathe every day: Unstoppable together. Always learning. Make it count. Think scale. Our people are critical to our ongoing success; we’re proud of our inclusive culture that gives you the platform to grow, challenge the status quo and play a crucial role in further enhancing our market position as the leading provider of HR & Payroll software and services. With Zellis you’ll have the chance to stretch and challenge yourself in an environment that’s varied, flexible and hugely supportive. We also love to reward and recognise our brilliant colleagues. As part of your benefits package, you’ll receive: A competitive salary. Excellent career progression opportunities. Transportation to the office (up to 30kms). Casual, privilege and sick leave, plus your birthday off. Group medical insurance. Personal accident insurance. Life assurance. A range of additional flexible benefits to support personal wellbeing.

We are hiring a QA Engineer for our product CookieYes. Roles and Responsibilities: Work closely with the development team to develop test cases for a SaaS application and execute them Ensure the quality of the new features and existing ones in the application, identify the issues throughout the system and report them to the development team Review and analyse users stories and system specifications for validity and feasibility Implement test automations Do regression testing on each release Implement load testing and ensure scalability Provide inputs and suggestions to improve the usability of the application Requirements: 1-3 years of experience in software testing Hands-on experience in both manual and automated testing. Experience working with Playwright is an added advantage. Strong knowledge in testing methodologies, SDLC and STLC Good problem solving skills with analytical and logical thinking approach Hands on experience in automated testing tools, load testing tools and API testing tools Knowledge in any defect tracking tool like Jira Proficiency in Regression testing and load testing Good understanding of web development fundamentals Team player with good communication skills

Test and Implementation Engineer - Fresher Brief description: Configure, implement, and demonstrate software products. The implementation cycle includes requirements validation, overseeing projects with specific development requirements, internal testing, and guiding clients through user acceptance to go-live status. Test and Implementation Engineer is also responsible for the development and delivery of training for both administrators and end-users. Document all customer interactions in designated CRM, and provide excellent customer experiences. Job Responsibilities Include 1.Guide and drive the client towards the best solution for their business needs 2.Analyze existing systems, interface requirements, business processes 3.Partner with clients to understand their business and related needs 4.Testing, and providing final QA/QC before client is ready to go live. 5.The testing all aspects of the product/system like function/component, system, performance, regression and service 6.Working with the development team to identify and capture test cases, ensure version management setting up of test environments, designing test plans, developing test cases/scenarios/usage cases, and executing these cases. 7. Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned people. 8. Good Communication Skill, able to articulate and a command on English. Preferred skills Experience required: 0 to 3 year Salary: 2.5 lakh to 4 lakh per annum Job Type: Full-time Pay: ₹250,000.00 - ₹400,000.00 per year Schedule: Day shift Work Location: In person

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 3, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

We deliver the world’s most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Applications Technical Specialist II with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Ensure project deployment as per conceptual design documentation and architecture Collaborate with various Information Technology and business stakeholder groups to ensure deployed solutions meet all agreed upon criteria Primary resource responsible for development of enhancements & fixes, and ongoing support of ServiceNow HRSD Design, develop and implement service portal related enhancements/fixes with the ServiceNow HRSD module Develop integrations on ServiceNow platform to various modules ITSM, HRSD, Custom Apps, Etc., Build and maintain Service Catalogues/ Record Producers inclusive of workflow and Orchestration Create and maintain client scripts, business rules, UI Policies, widgets, service portal, jobs, etc. (JavaScript/HTML/CSS) Troubleshoot and resolve any potential technical application issues. Adhere to ServiceNow best practices (code best practices, update sets, table relationships, application customization, etc.) Adhere to Worley Change Management principles to ensure the stability of sub-production and production environments Proactive, responsive and focused on anticipating future requirements and/or issues Recover quickly after change, disruptions, or mistakes and can remain productive and focused. Is adaptable and can apply lessons learned in one situation to another situation. Develop clear and concise technical/process documentation Global Reports creation and administration with platform analytics or performance analytics features Provide HRSD application training to business teams and help desks (train the trainer) About You To be considered for this role it is envisaged you will possess the following attributes: Excellent interpersonal and presentation skills Fluent in spoken and written English 5+ years experience as a ServiceNow Administrator 5+ years experience using JavaScript in ServiceNow 5+ years experience as an administrator for ServiceNow Service Catalogs and Service Portal 5+ years experience using web services in ServiceNow (REST and SOAP) 5+ years experience integrating ServiceNow with other platforms via all available options (automated flat file loads and transform maps, web services, connectors, etc) Experience implementing and maintaining SLAs Experience using Integration Hub and Service Graph connectors Experience acting as an administrator for all ITSM modules Experience acting as the primary regression testing resource for a ServiceNow upgrade. Strong understanding of the Users, Groups, Roles, and Security Groups implementation in ServiceNow and the automated methods used to maintain them. Sound knowledge of industry standards and methodologies Broad understanding of software applications in use at Worley including but not limited to Peoplelink, Oracle eBusiness Suite, Windows Operating Systems, Citrix, Systems Centre Suite of Products, Active Directory, Azure, Office 365, SharePoint, MS Teams Ability to work with globally dispersed virtual teams across a number of disciplines with Finance Service Management, HAM, HRSD, ITOM applications (Discovery, Event Management, Operational Intelligence, Orchestration, Service Mapping, CMDB) highly desirable. Personal Qualities/Behaviours: Strong work ethic Detail oriented and able to solve problems with efficient troubleshooting. Self-driven and takes responsibility. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-AP-Hyderabad, IND-MM-Pune, IND-TN-Chennai, IND-MM-Navi Mumbai Job Applications Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior General Manager

Urgent Hiring: Assistant Manager – Data Science | Gurgaon (Hybrid) Join within 10 Days | Immediate Joiners Only Location: Gurgaon (Hybrid Work Model) Experience: 5+ Years in Data Science (Statistical Modeling Focus) About the Role We are looking for a results-driven Assistant Manager – Data Science with deep expertise in statistical modeling to join our dynamic team. The ideal candidate should have hands-on experience in building, validating, and deploying statistical models and be ready to hit the ground running. If you're someone who can bring insights to life using data and can join us within 10 days , we want to hear from you! Key Responsibilities Design, develop, and implement various statistical models (e.g., Regression, Classification, Time Series, Clustering, etc.) Interpret and translate complex data into actionable insights and business recommendations Work cross-functionally with business stakeholders and tech teams to support data-driven decisions Ensure high model accuracy, scalability, and business relevance Perform deep-dive analysis using large datasets to support strategic initiatives Must-Have Skills 5+ years of hands-on experience in Data Science and Statistical Modeling Strong knowledge of Python/R , SQL , and data visualization tools Proficiency in Regression, Time Series Forecasting, Clustering, Segmentation , and other statistical techniques Strong business acumen with the ability to translate analytical findings into business impact Job Types: Full-time, Permanent Pay: Up to ₹1,800,000.00 per year Benefits: Provident Fund Application Question(s): Are you an immediate joiner? Work Location: In person

Key Responsibilities: Design, write, and execute test cases and test scenarios based on user stories, requirements, and acceptance criteria. Perform manual testing of web applications, APIs, and back-end systems, ensuring full coverage. Collaborate with automation engineers and contribute to automation test case design and execution (if skilled). Log, track, and verify bugs through defect tracking tools (e.g., JIRA ). Participate in Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, and demos. Validate fixes and conduct regression testing to ensure stability across releases. Communicate test results, issues, and risks to the QA Manager and cross-functional teams. Ensure test documentation is up to date and maintained in tools such as TestRail, Zephyr, or Xray . Work closely with the QA Manager to continuously improve QA processes, tools, and standards. Support performance testing and test data management activities when required. Required Skills and Qualifications: 6+ years of experience in software quality assurance. Strong understanding of QA methodologies , testing types, and Agile principles. Proficiency in manual testing with working knowledge of automation testing tools such as Selenium or Functionize. Familiarity with API testing tools like Postman or SOAPUI. Experience in defect tracking and test management tools (e.g., JIRA , Confluence , TestRail ). Basic understanding of CI/CD environments and source control (e.g., Jenkins, Git). Strong analytical and troubleshooting skills. Good communication skills and ability to work in a collaborative Agile team environment. We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. DISCLAIMER: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. .

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills. Preferred Education Master's Degree Required Technical And Professional Expertise 5-8 Yrs. Hands on Experience in SAP support projects as SAP SALES AND DISTRIBUTION Consultant in at least 3 support projects Good communication, verbal and written skills Should have deep knowledge of SAP SALES AND DISTRIBUTION Module and business domain knowledge. Preferred Technical And Professional Experience Able to do regression testing and System integration testing. Understand integration requirement with other SAP modules and Non SAP systems. Configure SAP System with SALES AND DISTRIBUTION module as per the requirements specified

The role of Anti Money Laundering (AML) Scenario Development & Enhancement (SDE) Statistician is part of Strategic Business Solutions group of AIM, based in Bangalore and reporting into the AVP/VP leading the team. The scope of work includes all aspects of analysis performed by the team within different projects: Threshold Tuning, Segmentation and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs. The SDE statistician will follow the globally consistent methodology, but is expected to have a high level of initiative and creativity and suggest enhancements to the current methodologies. The role requires working closely with business partners based in other geographies that Citi operates in (e.g., U.S., APAC, and EMEA). Requirements include a background in analysis using data bases, warehouses, data processing; experience with statistics and data mining. Experience and knowledge in banking and finance especially in the AML area will be a plus. In addition, the ability to read and create formal documentation is highly desirable. Responsibilities: A primary area of focus for this position will be working on threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to support the threshold tuning or segmentation work streams. Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs. Automate data extraction and data preprocessing tasks. Perform ad hoc data analyses. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations. Develop new transaction monitoring scenarios based on emerging Financial Crime Risk Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical vocabulary. Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes. Qualifications: 4-6 Yrs. Experience in Analytics Industry Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking) Experience in threshold tuning for Optimization, developing Logistic Regression Model to predict customer behaviour,identifying anomalies in transaction and Customer behaviour,Outlier detection,ATL threshold tuning, Segment customers into homogenous groups using clustering,Logistic Regression Model performance Review etc. while maintaining the flexibility to switch amongst work streams based on business needs Good Knowledge in SAS,SQL,Hive.Knowledge in Python is preferred but not mandatory Strong statistics and data analytics academic background and knowledge of quantitative methods Highly-skilled and good knowledge of MS Excel .VBA experience is a plus Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls Education: Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Decision Management - Job Family: Specialized Analytics (Data Science/Computational Statistics) - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Python(and/or) Selenium Java Automation hands on Good API Automation understanding & testing skills Good Functional testing skills Good Database understanding & hands on Responsibilities: • Design and develop automation solutions that meet organization standards and build reliable, reusable, and maintainable automated regression suites & test harnesses Design and develop test plans, test cases based upon functional and design specifications, execute test cases, and analyze and report test results to the teams Work in the agile environment and adhere to all QA best practices. Work in partnership with the development teams to deliver business functionality on time with required quality that meets the acceptance criteria. Active co-operation/collaboration with the global teams at various geographic locations Focus on building efficient solutions for Mobile, Web and Services/APIs testing requirements. Participate in internal/cross team meetings, project scoping, functional reviews, test specifications, technical reviews for assigned projects in an Agile environment Involve in requirements review and participate in architecture/design reviews with an emphasis on test automation strategy and ensuring best practices Participate actively in functional, system and regression testing activities Provide prompt response and support in resolving critical issues (along with the development team) May require after hours/weekend work for production implementations Job Types: Full-time, Contractual / Temporary Contract length: 24 months Pay: ₹1,800,000.00 - ₹2,400,000.00 per year Benefits: Cell phone reimbursement Flexible schedule Health insurance Life insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Morning shift Rotational shift Supplemental Pay: Shift allowance Experience: Automation testing: 8 years (Required) Work Location: In person Speak with the employer +91 7229035505

What You’ll Do Develop and execute comprehensive test plans, test cases, and testscripts for Workfront, Workfront fusion integrations, AEM applications Validate tool specific solutions as well as end to end workflows, APIintegrations, data flows from Workfront to AEM Perform functional and non-functional, integration, regression, andUAT support testing Participate in all Scrum meetings Be empowered to share thoughts, suggestions for continuousimprovement Collaborate closely with offshore Delivery teams (PO, Dev leads)2025 Identify, document and track defects using Jira Practice as per the Digital Ways of working to support optimal deliveryand consistent reporting What You Bring 3-5 years strong experience in automated testing (pytest) forweb applications and systems integrations Familiarity with Adobe Tools – Workfront, Fusion, AEM are preferred Good understanding of Integration testing principles, data validations Excellent attention to detail, problem solving skills Strong understanding of Agile, Scrum Experience with QA tools such as TestRail, Postman, Chrome DevTools forfrontend debugging and troubleshoot Any Adobe related certifications are preferred, but not necessary Experience working across multiple time zones and cultures Job Types: Full-time, Permanent Pay: ₹1,100,000.00 - ₹1,200,000.00 per year Work Location: In person

Position Description: Seeking a highly experienced talented and motivated Software Development Engineer in Test (SDET) with a strong focus on end-to-end automation. In this role, you will be instrumental in ensuring the quality, reliability, and performance of our applications by designing, developing, and maintaining comprehensive automated test suites. You'll work closely with development, product, and other QA engineers to build robust test coverage across our UI and API layers, playing a key part in our continuous delivery pipeline. If you're passionate about breaking software, building scalable test frameworks, and love diving into code, this role is for you! This position requires you to be a subject matter expert in full-stack test automation, with a demonstrated ability to build and scale test automation scripts in complex, regulated environments. Skills Required: Rest Assured, Appium, Developing Automation Scripts , cucumber, git, Selenium, Java Skills Preferred: cloudbuild, JMeter, Mobile Automation, GCP Experience Required: Must Have: • 6+ years of direct, hands-on testing, QA, or automation experience with Finance domain • Strong Scripting and Programming knowledge in languages such as Java, Python, JavaScript, or Groovy, with proven ability to build robust, maintainable automation frameworks and scripts for complex financial applications. • Must have hands-on Experience in Developing Automation Scripts for UI using frameworks/tools like Selenium , Appium, Playwright. Experience with BDD frameworks like Cucumber is required. (Experience with tools like Tosca is also valuable but focus on code-based automation skills). • Must have strong experience in API Automation using tools/frameworks like SoapUI, or Rest Assured, specifically for testing APIs, web services. • Must have experience in designing and automating End-to-End user journeys that simulate real-world financial scenarios across multiple channels and system touchpoints. • Extensive experience with database testing and advanced SQL scripting for data validation, test data management. • Must have Experience in GitHub for version control . • Very strong experience in designing, implementing, and maintaining CI/CD pipelines . • Must have working experience in Mobile cloud platforms like Headspin or Perfecto for automating testing. • Experience in using Test management tools like Xray, TestRail, or ALM. • Must have experience in Jira. • Ability to work effectively in diversified global teams and projects, collaborating across different time zones and cultures. • Excellent communication, collaboration, and interpersonal skills. Nice to Have: • Knowledge of performance testing concepts and tools ([e.g., JMeter, LoadRunner]). • Exposure to Unix and Linux environments for managing test execution or environments. • Exposure to AI tools like GenAI . • Knowledge on Current Market Trends about the Automation tools and Frameworks, specifically in the FinTech. Additional Information : End to End Automation Strategy & Standards: • Establish, lead, and continuously refine the test automation strategy specifically for Credit’s applications and integrated financial products, ensuring rigorous quality standards aligned with business goals, regulatory requirements, and audit needs. • Designing and automating End-to-End user journeys that simulate real-world financial scenarios across multiple channels and system touchpoints. • Define and implement comprehensive test automation standards, best practices, and guidelines tailored for testing complex, high-transaction financial systems. Full Stack Automation Development: • Design, develop, and maintain scalable, robust automated test suites covering the full application stack – including UI (Web and Desktop applications), APIs, and Microservices . • Develop and expand advanced test automation frameworks, modernizing them to align with DevOps principles and cloud-native architectures. CI/CD Integration : • CI/CD Integration: Integrate automated tests into our Continuous Integration/Continuous Deployment (CI/CD) pipelines to enable frequent and reliable releases. Comprehensive Testing & Validation: • Build and execute a comprehensive automated testing strategy covering integration, regression,, and end-to-end testing, with a strong emphasis on validating core financial application and financial data accuracy. Conduct meticulous software testing, verification, and validation of changes, especially focusing on preventing defects and incidents that could impact financial operations or financial data integrity in production Job Types: Full-time, Permanent Pay: Up to ₹1,000,000.00 per year Application Question(s): Should be serving NP and has to start in 15 days (Yes/No) Experience: Rest Assured: 6 years (Required) Appium: 6 years (Required) Automation Script: 6 years (Required) Java Selenium: 6 years (Required) Work Location: In person Speak with the employer +91 9106993185