About Us: Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world. Job Description: Automation Engineer with hands-on experience in PLC programming, HMI/SCADA development. The role also requires familiarity with Python scripting, basic HTML, assembly checkout, field commissioning and code maintenance using GitHub for version control. Preferred backgrounds include exposure to the printing, packaging, and paper converting industries. This role reports to the Project Manager and involves both software development and field deployment responsibilities. Technical Skills: Core Automation Skills : Proficient in PLC programming, including: B&R Automation Studio (Structured Text, Ladder, AS4.x) Beckhoff TwinCAT Development and customization of HMI using mapp View (HTML5-based UI framework) / IGNITION SCADA Platforms Hands-on experience in machine assembly checkout, I/O verification, and field commissioning Integration of HMI/SCADA systems with IoT systems using OPC UA, MQTT, etc. Use of GitHub for version control, issue tracking, and collaborative development Scripting, and Web Tech: Familiarity with Ignition SCADA platform and Python scripting for industrial applications Working knowledge of HTML/JavaScript for customizing HMI web interfaces (e.g., mapp View widgets. Help file system) Database integration using MS SQL Server for data logging, trends, alarms, and reporting System Integration: PLC-HMI interface design for control and visualization layers Configuration of alarms, historical logging, recipe systems, and report generation Experience with OPC servers, tag management, and data structure design Mandatory Skills: PLC Programming: B&R or Beckhoff - Mandatory HMI development using B&R mapp View / IGNITION platform- Mandatory HTML5-based HMI customization - Added Advantage GitHub: version control, branching, and collaboration - Mandatory SQL Server: queries, stored procedures, database integration - Added Advantage Python scripting (Ignition SCADA) - Added Advantage Assembly checkout and field commissioning - Mandatory Travel: Willing to travel to Europe and the U.S. for short-term field commissioning or project support Company: BW Corporate GCC

COMPANY OVERVIEW Domos AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Working as a member of Domo s Client Services team, the Associate Technical Consultant will be focused on the implementation of fault tolerant, highly scalable solutions. The successful candidate will have a minimum of 3 years working hands-on with data. This individual will join an enthusiastic, fast-paced and dynamic team at Domo. A successful candidate will have demonstrated sustained exceptional performance, innovation, creativity, insight, good judgment. KEY RESPONSIBILITIES Partner with business users, technical teams to understand the data requirements and support solutions development; Assist in implementing best practices for data ingestion, transformation and semantic modelling; Aggregate, transform and prepare large data sets for use within Domo solutions; Ensure data quality and perform validation across pipelines and reports; Write Python scripts to automate governance processes; Ability to create workflows in DOMO to automate business processes; Build custom Domo applications or custom bricks to support unique client use cases; Develop Agent Catalysts to deliver generative AI-powered insights within Domo, enabling intelligent data exploration, narrative generation, and proactive decision support through embedded AI features; Continuously learn and apply best practices to drive customer enablement and success; Support the documentation of data pipelines and the development of artifacts for long-term customer enablement. JOB REQUIREMENTS 3+ years of experience supporting business intelligence systems in a BI or ETL Developer role; Expert SQL skills required; Expertise with Windows and Linux environments; Expertise with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (i.e. MySQL, Oracle, MSSQL, Vertica, MongoDB); Understanding of data modelling skills (i.e. conceptual, logical and physical model design - with both traditional 3rd normal form as well as dimensional modelling, such as star and snowflake); Experience dealing with large data sets; Goal oriented with strong attention to detail; Proven experience in effectively partnering with business teams to deliver their goals and outcomes; Bachelors Degree in in Information Systems, Statistics, Computer Science or related field preferred OR equivalent professional experience; Excellent problem-solving skills and creativity; Ability to think outside the box; Ability to learn and adapt quickly to varied requirements; Thrive in a fast-paced environment. NICE TO HAVE Experience working with APIs; Experience working with Web Technologies (Javascript, Html, CSS); Experience with scripting technologies (Java, Python,R, etc.); Experience working with Snowflake, Data Bricks or Big Query is a plus; Experience defining scope and requirements for projects; Excellent oral and written communication skills, and comfort presenting to everyone from entry-level employees to senior vice presidents; Experience with statistical methodologies; Experience with a wide variety of business data (Marketing, Finance, Operations, etc); Experience with Large ERP systems (SAP, Oracle JD Edwards, Microsoft Dynamics, NetSuite, etc); Understanding of Data Science, Data Modelling and analytics. LOCATION: Pune, Maharashtra, India INDIA BENEFITS & PERKS Medical insurance provided Maternity and paternity leave policies Baby bucks: a cash allowance to spend on anything for every newborn or child adopted Haute Mama : cash allowance for maternity wardrobe benefit (only for women employees) Annual leave of 18 days + 10 holidays + 12 sick leaves Sodexo Meal Pass Health and Wellness Benefit One-time Technology Benefit: cash allowance towards the purchase of a tablet or smartwatch Corporate National Pension Scheme Employee Assistance Programme (EAP) Marriage leaves up to 3 days Bereavement leaves up to 5 days

COMPANY OVERVIEW Domos AI and Data Products Platform lets people channel AI and data into innovative uses that deliver a measurable impact. Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Working as a member of Domo s Client Services team, the Senior Technical Consultant will be focused on the implementation of fault tolerant, highly scalable solutions. The successful candidate will have a minimum of 5 years working hands-on with data. This individual will join an enthusiastic, fast-paced and dynamic team at Domo. A successful candidate will have demonstrated sustained exceptional performance, innovation, creativity, insight, good judgment. KEY RESPONSIBILITIES Partner with customers, business users, technical teams to understand the data needs and deliver impactful solutions; Develop strategies for data acquisitions and integration of the new data into Domos Data Engine; Map source system data to Domos data architecture and define integration strategies; Lead database analysis, design, and build effort, if required; Design scalable and efficient data models for the data warehouse or data mart (data structure, storage, and integration); Implement best practices for data ingestion, transformation and semantic modelling; Aggregate, transform and prepare large data sets for use within Domo solutions; Provide guidance on how to design and optimizes complex SQL queries; Provide consultation and mentoring to customers on best practices and skills to drive greater self-sufficiency; Ensure data quality and perform validation across pipelines and reports; Write Python scripts to automate governance processes; Ability to create workflows in DOMO to automate business processes; Build custom Domo applications or custom bricks to support unique client use cases; Develop Agent Catalysts to deliver generative AI-powered insights within Domo, enabling intelligent data exploration, narrative generation, and proactive decision support through embedded AI features; Capable of thoroughly reviewing and documenting existing data pipelines, and guiding customers through them to ensure a seamless transition and operational understanding. JOB REQUIREMENTS 5+ years of experience supporting business intelligence systems in a BI or ETL Developer role; Expert SQL skills required; Expertise with Windows and Linux environments; Expertise with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (i.e. MySQL, Oracle, MSSQL, Vertica, MongoDB); Understanding of data modelling skills (i.e. conceptual, logical and physical model design - with both traditional 3rd normal form as well as dimensional modelling, such as star and snowflake); Experience dealing with large data sets; Goal oriented with strong attention to detail; Proven experience in effectively partnering with business teams to deliver their goals and outcomes; Bachelors Degree in in Information Systems, Statistics, Computer Science or related field preferred OR equivalent professional experience; Excellent problem-solving skills and creativity; Ability to think outside the box; Ability to learn and adapt quickly to varied requirements; Thrive in a fast-paced environment. NICE TO HAVE Experience working with APIs; Experience working with Web Technologies (JavaScript, Html, CSS); Experience with scripting technologies (Java, Python, R, etc.); Experience working with Snowflake, Data Bricks or Big Query is a plus; Experience defining scope and requirements for projects; Excellent oral and written communication skills, and comfort presenting to everyone from entry-level employees to senior vice presidents; Experience with statistical methodologies; Experience with a wide variety of business data (Marketing, Finance, Operations, etc); Experience with Large ERP systems (SAP, Oracle JD Edwards, Microsoft Dynamics, NetSuite, etc); Understanding of Data Science, Data Modelling and analytics. LOCATION: Pune, Maharashtra, India INDIA BENEFITS & PERKS Medical insurance provided Maternity and paternity leave policies Baby bucks: a cash allowance to spend on anything for every newborn or child adopted Haute Mama : cash allowance for maternity wardrobe benefit (only for women employees) Annual leave of 18 days + 10 holidays + 12 sick leaves Sodexo Meal Pass Health and Wellness Benefit One-time Technology Benefit: cash allowance towards the purchase of a tablet or smartwatch Corporate National Pension Scheme Employee Assistance Programme (EAP) Marriage leaves up to 3 days Bereavement leaves up to 5 days Domo is an equal opportunity employer. #LI-PD1 #LI-Onsite

As the Ad Monetization Manager, you will own and scale BeBetta s ad revenue engine. You ll be responsible for optimizing eCPMs, managing ad mediation layers, improving fill rates, and maximizing ARPDAU across our high-engagement user base. You ll work cross-functionally to ensure monetization enhances rather than disrupts the user experience. Key Responsibilities Manage and optimize ad mediation platforms (e.g., AdMob, AppLovin MAX, ironSource, Unity Ads). Define and iterate ad placement strategies to balance user engagement and revenue. Continuously monitor and optimize eCPMs, fill rates, impressions, ARPDAU, and LTV across geographies and segments. Run A/B tests to evaluate performance of new ad placements, formats (rewarded, interstitial, native), and bidding strategies. Collaborate with the Product, Tech, and Design teams to ensure seamless and non-intrusive ad integrations. Develop and own dashboards for ad performance reporting and campaign insights. Stay updated with industry trends, emerging networks, and tools in ad-tech. Engage with ad network partners for account optimization and demand growth. Drive revenue forecasting and provide inputs for overall monetization strategy. Who You Are 3-6 years of experience in mobile ad monetization, ideally in casual games, RMG, or reward apps. Deep understanding of ad mediation, programmatic bidding, eCPMs, and fill rates. Hands-on with AdMob, AppLovin MAX, Unity Ads, ironSource, Chartboost, etc. Strong analytical mindset; proficiency in tools like Excel, Looker, Firebase, GA, Amplitude. Excellent cross-functional communication skills. Data-driven but user-first able to align revenue goals with product experience.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience8-10 Years.

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products. Responsibilities Develop innovative machine learning algorithms for Audio and speech generative models,; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /audio/NLP applications Combine features from multi-modalities such as video, audio, sensors, and location After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices Minimum Qualifications R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques Preferred Qualifications R&D experience developing generative models in audio and speech Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) Willingness to engage in hands-on R&D in modeling of audio/speech/text data Working in cross disciplinary, geographically-dispersed teams Education Requirements RequiredMaster's degree in Computer Engineering / Computer Science / Electrical Engineering PreferredDoctorate, Computer Engineering / Computer Science / Electrical Engineering 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Operations Group, Operations Group > Program Analyst General Summary: Description We are seeking a highly skilled EDA License Engineer to join our dynamic team, where you will play a critical role in the management and optimization of Electronic Design Automation (EDA) licenses. In this position, you will be responsible for overseeing the licensing of EDA tools, ensuring compliance with vendor agreements, and driving the effective allocation of licenses in alignment with project requirements. The successful candidate will serve as the primary point of contact for all inquiries related to EDA licensing, providing support to engineers and other stakeholders throughout the organization. You will also have the opportunity to analyze license usage trends, recommend improvements, and implement strategies to maximize the efficiency of our EDA resources. To excel in this role, you should possess a strong technical background in EDA tools, coupled with excellent communication and organizational skills. Your expertise will contribute to the seamless operation of our design processes, facilitating innovation and maintaining the quality of our electronic products. As a key member of our engineering team, you will work closely with various departments to ensure that all licensing needs are met, while supporting the overall goals and objectives of the organization. Minimum Qualifications: Associate's degree in Business Administration, Management, Computer Science, Engineering, Computer Science, or related field. OR High School Diploma or equivalent and 1+ year of relevant work experience. Responsibilities Provide support for EDA License in "24x7" model. Manage and oversee the licensing of EDA tools within the organization. Ensure compliance with vendor licensing agreements and policies. Analyze and optimize EDA license allocation based on project demands and usage trends. Serve as the primary contact for all inquiries related to EDA licenses and usage. Monitor license usage to identify under-utilized resources and recommend reallocation strategies. Collaborate with engineering and IT teams to troubleshoot licensing issues , installation of licenses, management of options file and audit the inventories. Prepare and maintain documentation related to license inventory, usage reports, and compliance audits. Minimum Qualifications Bachelor's degree in Electronics/Electrical Engineering, Computer Science, or a related field. Excellent organizational skills and attention to detail to manage multiple licenses effectively. Ability to communicate technical information clearly to both technical and non-technical stakeholders. Strong problem-solving skills and the ability to work independently as well as part of a team. Preferred Qualifications 1+ Years of experience in managing EDA licenses (FLEXlm,RLM) and tools, preferably in a similar role. Experience in working on ServiceNow ticketing tool. Strong understanding of electronic design workflows and EDA vendor products. Proficiency in data analysis tools like Splunk, Tableau to track and report license usage trends. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Overview Build High complex Reporting Gen Ai solutions, by integrating with the PEPGENX Platform Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize LLM, data models and reporting processes for performance and scalability Ensure LLM Models are grounded through Prompt Engineering, RAG & Other methods Build or Modify Orchestration layers as needed Apply Evaluation Techniques to validate LLM's accuracy Ensure data/model accuracy, consistency, and integrated in all reporting solutions. Conduct Various Tests likeSIT, UAT & More, fix all the bugs or issues identified Perform Code Scan and fix any anomalies identified during the scan Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications Stay updated with the latest advancements in GenAi and reporting technologies and apply them to improve existing solutions Responsibilities Build High complex Reporting Gen Ai solutions, by integrating with the PEPGENX Platform Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize LLM, data models and reporting processes for performance and scalability Ensure LLM Models are grounded through Prompt Engineering, RAG & Other methods Build or Modify Orchestration layers as needed Apply Evaluation Techniques to validate LLM's accuracy Ensure data/model accuracy, consistency, and integrated in all reporting solutions. Conduct Various Tests likeSIT, UAT & More, fix all the bugs or issues identified Perform Code Scan and fix any anomalies identified during the scan Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications Stay updated with the latest advancements in GenAi and reporting technologies and apply them to improve existing solutions Qualifications Masters degree in computer science or data science or AI/ML, or a related field. 8-11 years overall experience; 6+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing AI-driven reporting solutions. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Experience with big data technologies like Hadoop, Spark, or similar. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices.

Overview Create Architecture (Conceptual, Logical & Physical) for Reporting Gen Ai Technical Solution Design. Develop a comprehensive architecture framework that includes conceptual, logical, and physical layers. This framework should define the structure, processes, and components needed for effective AI4BI solutions using Generative AI. Work closely with the Platform Team to develop required features or capabilities, assist in testing and scaling. Engage collaboratively with the Platform Team to identify necessary features and capabilities for implementation. Participate actively in testing phases to ensure functionality and scalability, providing feedback and support as needed. Act as the intermediary between the Reporting Ai Engineering Team and the Platform Team to communicate platform capabilities, issues, and concerns, and facilitate resolution. Serve as the communication bridge between the Reporting AI Engineering Team and the Platform Team. Relay information about platform functionalities, address any issues or concerns raised, and assist in finding timely and effective resolutions. Conduct research on Generative Ai Technology to ensure the team stays updated with market trends. Perform ongoing research into advancements and trends within Generative AI technology. Share findings with the team to keep everyone informed and ensure the integration of cutting-edge techniques and tools. Provide technical leadership to the Reporting Ai Engineering Team and assist in resolving issues. Offer guidance and expertise to the Reporting AI Engineering Team on technical matters. Help troubleshoot problems and provide solutions, fostering a collaborative and proactive problem-solving environment. Ensure all Reporting Ai Solutions are built according to the Technical Design. Oversee the development process to confirm that all solutions adhere strictly to the predetermined technical design specifications. Conduct regular reviews and checks to maintain high standards of quality and consistency. Ensure all Reporting Ai Solutions comply with PepsiCo's Responsible Ai & GenAi standards. Verify compliance with PepsiCo's policies on Responsible AI and Generative AI standards throughout the solution development lifecycle. Implement best practices and ethical guidelines to uphold these standards. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Work with various departments to gather detailed reporting needs. Translate these requirements into clear and actionable technical specifications to guide the engineering team. Stay informed about the latest advancements in GenAi and reporting technologies and apply them to enhance existing solutions. Keep abreast of new developments in both Generative AI and reporting technologies. Apply this knowledge to improve current solutions, ensuring they remain innovative and efficient. Responsibilities Create Architecture (Conceptual, Logical & Physical) for Reporting Gen Ai Technical Solution Design. Develop a comprehensive architecture framework that includes conceptual, logical, and physical layers. This framework should define the structure, processes, and components needed for effective AI4BI solutions using Generative AI. Work closely with the Platform Team to develop required features or capabilities, assist in testing and scaling. Engage collaboratively with the Platform Team to identify necessary features and capabilities for implementation. Participate actively in testing phases to ensure functionality and scalability, providing feedback and support as needed. Act as the intermediary between the Reporting Ai Engineering Team and the Platform Team to communicate platform capabilities, issues, and concerns, and facilitate resolution. Serve as the communication bridge between the Reporting AI Engineering Team and the Platform Team. Relay information about platform functionalities, address any issues or concerns raised, and assist in finding timely and effective resolutions. Conduct research on Generative Ai Technology to ensure the team stays updated with market trends. Perform ongoing research into advancements and trends within Generative AI technology. Share findings with the team to keep everyone informed and ensure the integration of cutting-edge techniques and tools. Provide technical leadership to the Reporting Ai Engineering Team and assist in resolving issues. Offer guidance and expertise to the Reporting AI Engineering Team on technical matters. Help troubleshoot problems and provide solutions, fostering a collaborative and proactive problem-solving environment. Ensure all Reporting Ai Solutions are built according to the Technical Design. Oversee the development process to confirm that all solutions adhere strictly to the predetermined technical design specifications. Conduct regular reviews and checks to maintain high standards of quality and consistency. Ensure all Reporting Ai Solutions comply with PepsiCo's Responsible Ai & GenAi standards. Verify compliance with PepsiCo's policies on Responsible AI and Generative AI standards throughout the solution development lifecycle. Implement best practices and ethical guidelines to uphold these standards. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Work with various departments to gather detailed reporting needs. Translate these requirements into clear and actionable technical specifications to guide the engineering team. Stay informed about the latest advancements in GenAi and reporting technologies and apply them to enhance existing solutions. Keep abreast of new developments in both Generative AI and reporting technologies. Apply this knowledge to improve current solutions, ensuring they remain innovative and efficient. Qualifications Degree in Computer Science, Computer Engineering, Data Science or a related field preferred 10-14 years overall experience; 4+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing GenAI-driven using solutions various tech stacks like, Knowledge Graphs, AI Agents, AI Search, Meta data catalogue and more. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices. Differentiating Competencies Required Identify any differentiating behaviors, leadership skills or soft skills required for success in the role. Ability to work is a fast paced, agile environment with large cross-functional teams Ability to manage multiple priorities at the same time Exceptional quantitative and analytics skills Ability to understand psychology and motivation behind digital solution development and where digital assistants can improve user experiences Excellent interpersonal and communication skills, both written and verbal Flexibility to quickly learn new technologies and agility to deliver quick POC Ability to produce solutions independently in an organized manner and work in a team

Overview Develop and implement AI-driven reporting solutions to improve data analytics and business intelligence. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Design, develop, and maintain interactive dashboards and reports using tools like Power BI, Tableau, or similar. Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize data models and reporting processes for performance and scalability. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy, consistency, and integrity in all reporting solutions. Stay updated with the latest advancements in AI and reporting technologies and apply them to improve existing solutions. Provide training and support to end-users on how to use and interpret AI-driven reports. Consult with the Data & Analytics team and Reporting Factory developers to build the required data infrastructure needed to host and run Reporting Gen Ai solutions Responsibilities Develop and implement AI-driven reporting solutions to improve data analytics and business intelligence. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Design, develop, and maintain interactive dashboards and reports using tools like Power BI, Tableau, or similar. Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize data models and reporting processes for performance and scalability. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy, consistency, and integrity in all reporting solutions. Stay updated with the latest advancements in AI and reporting technologies and apply them to improve existing solutions. Provide training and support to end-users on how to use and interpret AI-driven reports. Consult with the Data & Analytics team and Reporting Factory developers to build the required data infrastructure needed to host and run Reporting Gen Ai solutions Qualifications Bachelors degree in computer science, Data Science, AI/ML, or a related field. 7-9 years overall experience; 4+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing AI-driven reporting solutions. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Experience with big data technologies like Hadoop, Spark, or similar. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices.

Overview Develop and implement AI-driven reporting solutions to improve data analytics and business intelligence. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Design, develop, and maintain interactive dashboards and reports using tools like Power BI, Tableau, or similar. Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize data models and reporting processes for performance and scalability. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy, consistency, and integrity in all reporting solutions. Stay updated with the latest advancements in AI and reporting technologies and apply them to improve existing solutions. Provide training and support to end-users on how to use and interpret AI-driven reports. Consult with the Data & Analytics team and Reporting Factory developers to build the required data infrastructure needed to host and run Reporting Gen Ai solutions Responsibilities Develop and implement AI-driven reporting solutions to improve data analytics and business intelligence. Collaborate with cross-functional teams to understand reporting requirements and translate them into technical specifications. Design, develop, and maintain interactive dashboards and reports using tools like Power BI, Tableau, or similar. Integrate AI models and algorithms into reporting solutions to provide predictive and prescriptive insights. Optimize data models and reporting processes for performance and scalability. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Ensure data accuracy, consistency, and integrity in all reporting solutions. Stay updated with the latest advancements in AI and reporting technologies and apply them to improve existing solutions. Provide training and support to end-users on how to use and interpret AI-driven reports. Consult with the Data & Analytics team and Reporting Factory developers to build the required data infrastructure needed to host and run Reporting Gen Ai solutions Qualifications Bachelors degree in computer science, Data Science, AI/ML, or a related field. 7-9 years overall experience; 4+ years of professional experience working directly on the design, development and rollout of AI/ML/GenAi Solutions Proven experience in developing AI-driven reporting solutions. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar. Proficiency in programming languages such as Python, R, or SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus. Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its application in reporting. Experience with big data technologies like Hadoop, Spark, or similar. Familiarity with data warehousing concepts and tools. Understanding of business intelligence and data analytics best practices.

Job Title:SAP CPQ Callidus Cloud, AWS, Python, CPQ, Iron python, HTML, CSS Experience5-10 Years Location:Bangalore : SAP, CPQ, Callidus, Cloud, AWS, Python, CPQ, Iron, Python, HTML, CSS.

Job Title Power BI+Python+SQL Experience 7-14 Years Location Bangalore : Power BI, Python, SQL

Job Title Analytics - Power BI Experience 5- 10 Years Location :Bangalore : Analytics, Power BI.

Job Title:SAP CPQ Callidus Cloud Experience5-8 Years Location:Bangalore : SAP CPQ Callidus Cloud, AWS, Python, CPQ, Iron Python, HTML, CSS.

Job Title:Data Analyst Experience5-10 Years Location:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

Job Title SAP CPQ Engineer Experience 5-10 Years Location Bangalore : Looking for a senior resource with min 5+ years of hands-on experience in SAP CPQ. Must have experience in SAP CPQ Callidus Cloud with product knowledge on below points CPQ Product integration Save Configuration Price Object and Delivery Object Customization Product feature Customization Performance improvement, SAP CPQ Quote implementation AWS Python, CPQ, Iron python, HTML, CSS Hands on experience in JAVASCRIPT, jQuery, Postman, GitHub Good to have experience in scripting language like Shell Scripting Qualification: Bachelor’s or master’s degree in computer science, Information Systems, Engineering or equivalent.

Job Title:Cobol Dev Experience:5-10Years Location:Bangalore : Technical Skills: 5 + Years of experience as ETL data developer in Informatica, CONNX, SQL Server, Oracle DB setup CONNX metadata for Eligibility and Billing tables. Design and develop informatica ETLs to convert IMF data to Certifi format, Eligibility file format and IMF Notes format Support reconciliation of data across MMC systems and Javelina/Certifi/AWS Archive Proficiency in designing, developing, and debugging ETL workflows and mappings. Experience with Informatica transformations like Source Qualifier, Expression, Lookup, Aggregator, and Filter. Familiarity with performance optimization techniques in Informatica (e.g., session tuning, partitioning). Experience in extracting data from SQL Server and writing it into delimited file formats like CSV. Knowledge of handling large datasets and ensuring efficient data movement. Familiarity with file-level operations like encoding, delimiter configuration, and column formatting. Skills in implementing robust error handling and logging mechanisms in ETL workflows. Ability to debug issues related to data extraction, transformation, or file generation Ability to work independently and as part of a team Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

Job Title :React, SCSS Experience 9-12 Years Location Bangalore : React, SCSS.

Job Title:GenAI Specialist Experience4-8 Years Location:Bangalore : We are looking for a GenAI specialist withexperience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Develop and implement AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems preferably in security area. Additionally, expertise in cyber security, data engineering, DevOps, and MLOps practices will be valuable in this role Position Summary Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Skills: Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Certification: NA Skills PRIMARY COMPETENCY Information Security PRIMARY Cyber Security for Cloud PRIMARY PERCENTAGE 100

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Contribute to the capacity of a Scrum Master/data business analyst to Data project Act as an agile coach, implementing and supporting agile principles, practices and rules of the scrum process and other rules that the team has agreed upon Knowledge of different framework like Scrum, Kanban, XP etc. Drive tactical, consistent team-level improvement as part of the scrum. Work closely with Product owner to get the priority by business value, work is aligned with objectives and drive the health of product backlog. Facilitate the scrum ceremonies and analyze the sprint report, burn down charts to identify the areas of improvement Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis. Engage with project activities across the Information lifecycle, often related to paradigms like -Building & managing Business data lakes and ingesting data streams to prepare data ,Developing machine learning and predictive models to analyse data, Visualizing data ,Specialize in Business Models and architectures across various Industry verticals. Your Profile Proven working experience as a Scrum Master/Data Business Analyst with overall experience of min 5 to 9+ years Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT Independently able to work with Product Management team and prepare Functional Analysis, User Stories Experience in technical writing skills to create BRD , FSD, Non-functional Requirement document, User Manual &Use Cases Specifications Comprehensive & solid experience of SCRUM as well as SDLC methodologies Experience in Azure DevOps/JIRA/Confluence or equivalent system and possess strong knowledge of the other agile frameworks Excellent meeting moderation and facilitation skills CSM/PSM 1 or 2 certified is mandate; SAFe 5.0 /6.0 is a plus Strong stakeholder management skills Good to have knowledge about big data ecosystem like Hadoop. Good to have working knowledge of R/Python language What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle, often related to paradigms like - Building & managing Business data lakes and ingesting data streams to prepare data , Developing machine learning and predictive models to analyse data , Visualizing data , Empowering Information consumers with agile Data Models that enable Self-Service BI , Specialize in Business Models and architectures across various Industry verticals Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams , Document detailed business requirements, develop solution design and specifications. Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis Work closely with the solutions architecture team to define the target detailed solution to deliver the business requirements. Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Strong communication, facilitation, relationship-building, presentation, and negotiation skills Consultant must have a flair for storytelling and be able to present interesting insights from the data. Consultant should have good Soft skills like good communication, proactive, self-learning skills etc Consultants are expected to be flexible to the dynamically changing needs of the industry. Must have good exposure to Database management systems, Good to have knowledge about big data ecosystem like Hadoop. Hands on with SQL and good knowledge of noSQL based databases. Good to have working knowledge of R/Python language. Exposure to / Knowledge about one of the cloud ecosystems Google / AWS/ Azure What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle, often related to paradigms like -Building & managing Business data lakes and ingesting data streams to prepare data , Developing machine learning and predictive models to analyse data ,Visualizing data ,empowering Information consumers with agile Data Models that enable Self-Service BI , Specialize in Business Models and architectures across various Industry verticals Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams ,Document detailed business requirements, develop solution design and specifications. Support and coordinate system implementations through the project lifecycle working with other teams on a local and global basis Work closely with the solutions architecture team to define the target detailed solution to deliver the business requirements. Your Profile Proven working experience as a Data Business Analyst or Business Analyst with overall experience of min 5 to 9+ years Business analyst with Data background is preferred Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT Strong knowledge of database languages such as SQL and ETL frameworks; spreadsheet tools such as Microsoft Excel; and data visualization software such as Power BI, Tableau, Qlik Independently able to work with Product Management team and prepare Functional Analysis, User Stories Experience in technical writing skills to create BRD, FSD, Non-functional Requirement document, User Manual &Use Cases Specifications Comprehensive & solid experience of SCRUM as well as SDLC methodologies Experience in JIRA/Confluence and possess strong knowledge of the Scrum framework as well as other Agile frameworks such as Kanban, Crystal, XP, etc Strong stakeholder management skills Consultant must have a flair for storytelling and be able to present interesting insights from the data. Must have good exposure to Database management systems, Hands on with SQL and good knowledge of noSQL based databases,Good to have working knowledge of R/Python language. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.