3040 Clustering Jobs - Page 2

As an MS-SQL DBA L2, you will be responsible for providing 24/7 database support, including incidents, requests, and changes. This role includes on-call support during weekends and outside of regular business hours to ensure continuous database functionality. Your duties will involve offering round-the-clock assistance for critical production systems, demonstrating strong knowledge and understanding of Production Database Operations and the significance of Business As Usual (BAU) operations. You must possess a good grasp of the ITIL Framework, effective communication skills (both written and verbal), and experience in Incident Management and handling crisis calls by engaging with Vendors and Clients. Your role will require strong analytical skills, problem-solving abilities, and decision-making capabilities. You should be willing to take responsibility, demonstrate problem ownership, and continuously upskill yourself on new concepts, features, and open-source technologies while also mentoring others. In this role, you will need to adapt to a rapidly changing environment, plan and execute PSU Patching & Upgradation of SQL Server, automate PSU Patching and other routine tasks, optimize queries using tools like Performance Monitor and SQL Profiler, manage account operations like login creation, and maintain security and audit parameters. Additionally, you will be responsible for tasks such as index de-fragmentation, configuration and monitoring of High Availability features, periodic database backups, SQL Agent job scheduling, and troubleshooting maintenance plans. To excel in this position, you should have strong teamwork skills, be able to work in shifts on a rotation basis, and exhibit a positive attitude. Your profile should reflect experience in Production Database Operations, Incident Management, and familiarity with ITIL Framework. Presentation skills, project management expertise, and the ability to troubleshoot data corruption issues are also essential requirements. As an ideal candidate, you should possess 5-8 years of relevant experience, hold an Engineering/MCA/Computer Science degree or post-graduation, and preferably have a relevant RDBMS certification. Experience in handling large environments with a minimum of 500+ SQL Instances and TBs of database size will be advantageous. Join us at Socit Gnrale, where we believe in the power of people to drive change and shape the future. By working together, we can make a positive impact by creating, innovating, and taking action. Our commitment to ESG principles and diversity and inclusion ensures a stimulating and caring environment where you can grow, develop your expertise, and contribute meaningfully to society. If you are looking for a workplace where you can make a difference, support ESG initiatives, and engage in solidarity actions, Socit Gnrale offers a dynamic and inclusive environment where your skills and contributions are valued.,

The DBA Lead with MySQL Expertise will be responsible for the design, implementation, and maintenance of critical MySQL database systems. You will need to provide strong technical leadership to mentor a team of DBAs, ensuring the integrity, availability, and security of the organization's data. Collaborating with development teams is crucial to optimize database performance and ensure operational efficiency. Your key responsibilities will include designing and implementing scalable and highly available MySQL database solutions, collaborating with application development teams to understand data requirements, and enforcing database standards, procedures, and best practices. Additionally, you will be responsible for installing, configuring, upgrading, and patching MySQL databases, monitoring and addressing performance issues, and implementing backup and recovery procedures. Data integrity and security will be maintained through access controls, encryption, and auditing. In terms of performance tuning and optimization, you will need to identify and resolve bottlenecks, optimize queries and indexes for efficiency, and continuously monitor and fine-tune database systems for optimal performance. Troubleshooting complex database-related issues and providing technical support to development teams will also be part of your role, including participating in an on-call rotation for critical database issues. As a team leader, it will be essential to offer technical guidance and mentorship to the DBA team, delegate tasks effectively, and foster a collaborative team environment. Your technical expertise should include extensive experience in MySQL database administration, strong knowledge of SQL and database design principles, and familiarity with replication, clustering, and high availability solutions. Proficiency in scripting languages for automation and experience with Linux/Unix operating systems are also required. Leadership and communication skills are crucial, along with proven experience in mentoring in a technical setting, excellent communication and collaboration skills, and strong analytical and problem-solving abilities. A Bachelor's degree in Computer Science, Information Technology, or a related field is necessary, along with at least 9 years of experience in MySQL database administration and 3 years of experience in a team lead or supervisory role. MySQL certifications are considered a plus. In return, you can expect a competitive salary and benefits package, the opportunity to work with cutting-edge technologies, a collaborative and supportive work environment, and potential for professional growth and advancement.,

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : BE Summary: As an AI / ML Engineer, you will develop applications and systems that utilize AI to improve performance and efficiency, including deep learning, neural networks, chatbots, and natural language processing. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Implement machine learning models for various applications. - Optimize AI algorithms for improved performance. - Collaborate with cross-functional teams to integrate AI solutions. - Stay updated with the latest trends in AI and ML technologies. - Provide technical guidance and mentor junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 3 years of experience in Machine Learning Operations. - This position is based at our Kolkata office. - A BE degree is required., BE

Job Description We are looking for a team member within strategic forecasting team based out of Pune. Robust forecasting is a priority for businesses, as the product potential has major implications to a wide range of disciplines. While forecasting of realistic potential can be arrived through both qualitative and quantitative methods, the challenge lies in selecting and deploying the right methodology. Thus, it is essential to have someone who understands and aspires to implement advanced analytics techniques such as Monte Carlo simulations, agent-based modeling, conjoint frameworks, NLP, clustering etc. within forecasting vertical. Primary Responsibilities Include, But Are Not Limited To Responsible for conceptualizing and delivering forecasts and analytical solutions, using both strategic as well as statistical techniques Drive continuous enhancements to evolve the existing forecasting capabilities in terms of value-add, risk/ opportunity/uncertainty - identify and elevate key forecasting levers/insights/findings to inform decision making Collaborate across stakeholders – should be replaced with “our Research & Development Division”, Human Health, Finance, Research, Country, and senior leadership – to build and robust assumptions, ensuring forecast accuracy improves over time to support decision making Drive innovation and automation to bring in robustness and efficiency gains in forecasting/process; incorporate best-in-class statistical forecasting methods to improve the accuracy Communicate effectively across stakeholders and proactively identify and resolve conflicts by engaging with relevant stakeholders Responsible for managing team and delivery of forecasts in a timely manner with allocated resources Determine the optimal method for forecasting, considering the context of the forecast, availability of data, the degree of accuracy desired, and the timeline available Contribute in evolving our offerings through standardization/ automation of various offerings, models and processes Participate in selection, talent development and trainings of our company's employees Qualification And Skills Engineering / Management / Pharma post-graduates with 8+ years of experience in the relevant roles; with at least 8+ years of experience in pharmaceutical strategic forecasting or analytics Demonstrated leadership and management in driving innovation and automation leveraging advanced statistical and analytical techniques (expertise in Spotfire will be added advantage) Proven ability to work collaboratively across large and diverse functions and stakeholders Ability to manage ambiguous environments, and to adapt to changing needs of business Strong analytical skills; an aptitude for problem solving and strategic thinking Hands on experience on Monte Carlo simulations and range forecasting Exposure/sound understanding of advanced modeling techniques like Agent based and dynamic transmission model Ability to synthesize complex information into clear and actionable insights Proven ability to communicate effectively across all levels of stakeholders Solid understanding of pharmaceutical development, manufacturing, supply chain and marketing functions Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Conflict Resolution, Data Forecasting, Financial Forecasting, Forecast Accuracy, Forecasting Models, Forecast Management, Foster Innovation, Group Decision Making, Marketing, Numerical Analysis, Pharmaceutical Development, Stakeholder Engagement, Stakeholder Relationship Management, Strategic Forecasting, Strategic Planning, Waterfall Model Preferred Skills Job Posting End Date 08/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R359823

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1) Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. 2) Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. 3) Qualifications, Experience, Skills Level of educational attainment required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous work experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description Core Responsibilities Work with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools. Combines data as needed from disparate data sources to complete analysis from multiple sources. Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. Develops forecasting models to predict business key metrics. Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. Mandatory Skills SQL Tableau Good Story telling capabilities Nice To Have Skills PPT creation Databricks Spark LLM Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Your team's dynamic: The role of the Technical Support Engineer (India) is to provide quality and professional post-sales services to our customers via email, phone, text chat or on-site support. The Technical Support Engineer is based in Mumbai or Bangalore India and will report to the Customer Experience Team Lead (India). What your day will look like: Use software tools to diagnose and solve complex issues and service outages Conceptualize and articulate ideas clearly and concisely Resolve problems in compliance with established processes Ensure timely escalation of critical customer related issues through proper channels Ensure timely resolution of customer issues Collaborate with other Technical Support specialists and R&D engineers Develop and maintain a strong relationship with new and existing customers Develop and maintain an extensive working knowledge of Genetec's solutions Contribute to the evolution of our software and Support processes Participate in the elaboration of technical documentation and knowledge base article Properly document issues encountered in the field in the Genetec trouble ticket system and customer relationship management (CRM) tool More about you: Minimum Diploma/Degree in Computer Sciences, Computer Engineering, Electronics or equivalent 3-5 years working experience in a related role Strong analytical and troubleshooting skills in both hardware and software Flexible, with a "can do" attitude, able to multitask, with an ability to manage priorities Experience in customer service, technical support, and project management Strong sense of urgency with a desire to constantly learn and evolve at the same pace as the software Strong team player while possessing the autonomy to manage his own workload Experience in physical Security environment CCNA qualification Fluent and proficient in verbal and written communication in English Any other languages will be considered a strong asset Must possess a valid driver's license and passport Capacity to travel up to 35% for field engineering assignments Technical requirements: Excellent administration and troubleshooting knowledge of the various Windows operating systems (Active Directory, file sharing, IIS, clustering, GPO, performance monitoring, etc.) Excellent knowledge of networking principles and IP protocols Experience with networking equipment configuration and troubleshooting (switches, routers, etc.) Experience working with a video security system over IP - CCTV system or Access control. Experience working with SQL databases Clear understanding of TCP, IP and UDP protocol stack Understanding of network storage (SAN, NAS, iSCSI) principles and best practices Understanding of server virtualization concepts Great if you have: Programming experience with C#, Visual Basic, VBScript, PowerShell, or similar technologies Microsoft SQL Service administration experience MCSE, SQL Server, VMware, or similar technical professional certifications Deployment and troubleshooting of security systems such as: CCTV (IP cameras and encoders, video matrices, DVRs, etc.) Access control systems (administration of software, reader, controller, wiring, etc.) License plate recognition system and concepts Let's talk perks! Attractive compensation package Training Tuition Reimbursement Program Work-life balance with a flexible working schedule Still not sure if you check every box, but think it's worth a shot? We love that enthusiasm! Thank you for your application, but please note that only qualified candidates will be contacted. Head-hunters and recruitment agencies may not submit resumés/CVs through this Web site or directly to managers.

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Performance-Based) About INLIGHN TECH INLIGHN TECH is a future-ready edtech company providing hands-on, project-based virtual internships to help students and graduates build practical skills. Our AI & ML Internship is tailored for aspiring professionals looking to gain real-world experience in artificial intelligence and machine learning through coding, experimentation, and project development. 🚀 Internship Overview As an AI & Machine Learning Intern , you'll work on real datasets and implement ML algorithms to solve classification, regression, and clustering problems. You'll get the opportunity to apply deep learning models, understand the ML pipeline, and contribute to AI-powered projects under expert guidance. 🔧 Key Responsibilities Clean and preprocess datasets for machine learning Build and evaluate models using libraries like Scikit-learn , TensorFlow , or PyTorch Implement algorithms such as Linear Regression, Decision Trees, SVM, K-Means, and Neural Networks Work on real-world AI applications like image recognition, sentiment analysis, or recommendation systems Visualize model performance using Matplotlib , Seaborn , or Power BI Collaborate in a team environment using Git/GitHub and participate in code reviews Document model assumptions, evaluation results, and future improvements ✅ Qualifications Pursuing or recently completed a degree in Computer Science, AI, Data Science , or a related field Strong foundation in Python , statistics , and machine learning concepts Familiarity with Numpy, Pandas, Scikit-learn , and deep learning frameworks Understanding of the ML lifecycle , from data collection to deployment Good problem-solving skills and an eagerness to learn Bonus: experience with NLP, computer vision , or ML model deployment (Flask/Streamlit) 🎓 What You’ll Gain Hands-on experience with real-time AI and ML projects A portfolio of ML models, visualizations, and predictive tools Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on your work A strong foundation to pursue roles in ML engineering, data science, and AI research

Your team's dynamic: The role of the Technical Support Engineer (India) is to provide quality and professional post-sales services to our customers via email, phone, text chat or on-site support. The Technical Support Engineer is based in Mumbai or Bangalore India and will report to the Customer Experience Team Lead (India). What your day will look like: Use software tools to diagnose and solve complex issues and service outages Conceptualize and articulate ideas clearly and concisely Resolve problems in compliance with established processes Ensure timely escalation of critical customer related issues through proper channels Ensure timely resolution of customer issues Collaborate with other Technical Support specialists and R&D engineers Develop and maintain a strong relationship with new and existing customers Develop and maintain an extensive working knowledge of Genetec's solutions Contribute to the evolution of our software and Support processes Participate in the elaboration of technical documentation and knowledge base article Properly document issues encountered in the field in the Genetec trouble ticket system and customer relationship management (CRM) tool More about you: Minimum Diploma/Degree in Computer Sciences, Computer Engineering, Electronics or equivalent 3-5 years working experience in a related role Strong analytical and troubleshooting skills in both hardware and software Flexible, with a "can do" attitude, able to multitask, with an ability to manage priorities Experience in customer service, technical support, and project management Strong sense of urgency with a desire to constantly learn and evolve at the same pace as the software Strong team player while possessing the autonomy to manage his own workload Experience in physical Security environment CCNA qualification Fluent and proficient in verbal and written communication in English Any other languages will be considered a strong asset Must possess a valid driver's license and passport Capacity to travel up to 35% for field engineering assignments Technical requirements: Excellent administration and troubleshooting knowledge of the various Windows operating systems (Active Directory, file sharing, IIS, clustering, GPO, performance monitoring, etc.) Excellent knowledge of networking principles and IP protocols Experience with networking equipment configuration and troubleshooting (switches, routers, etc.) Experience working with a video security system over IP - CCTV system or Access control. Experience working with SQL databases Clear understanding of TCP, IP and UDP protocol stack Understanding of network storage (SAN, NAS, iSCSI) principles and best practices Understanding of server virtualization concepts Great if you have: Programming experience with C#, Visual Basic, VBScript, PowerShell, or similar technologies Microsoft SQL Service administration experience MCSE, SQL Server, VMware, or similar technical professional certifications Deployment and troubleshooting of security systems such as: CCTV (IP cameras and encoders, video matrices, DVRs, etc.) Access control systems (administration of software, reader, controller, wiring, etc.) License plate recognition system and concepts Let's talk perks! Attractive compensation package Training Tuition Reimbursement Program Work-life balance with a flexible working schedule Still not sure if you check every box, but think it's worth a shot? We love that enthusiasm! Thank you for your application, but please note that only qualified candidates will be contacted. Head-hunters and recruitment agencies may not submit resumés/CVs through this Web site or directly to managers.

Job Description We are looking for someone who embraces new technologies and exudes passion solving complex puzzles. Your responsibilities focus on three critical areas of the global communications team: Network Security, Network Infrastructure, and Network Optimization. Additionally, you will participate with your global team members in acquisitions, technology evaluations, design, and of course resolving intellectually challenging technical issues. If you enjoy traveling and exploring cultures around the world, you are in luck. With 600+ locations in every time zone in over 65 countries on every continent except Antarctica, the sun never sets for NOV. We are a globally diverse happy family, driven to power the people who power the world. Responsibilities You like to engage directly with business groups in architecture discussions and standard methodology. Possess strong communications skills and the ability to build trust and integrity in your relationships with our business partners. Compelling presenter with superb communication skills to represent the capabilities and services IT provides. Ability to communicate deftly to both technical and non-technical audiences. Ability to quickly learn, understand, and work with new emerging technologies, methodologies and solutions in the cloud/IT technology space. Your deep understanding of network application protocols such as DNS, HTTP, encryption, and skills tackling problems solved with network packet capture make you an ideal team member. Deep understanding of IT security as a whole with proven focus on firewalls, application and endpoint security. A rich understanding of wired or wireless network protocols. Required understanding of global wide area networking and impact of latency. What do you think of a wireless only office? A proven knowledge of datacenter and cloud networking. Required knowledge of scripting/programming knowledge on automation, and concept of redundancy. Solid grasp of optimization technologies including compression, caching, load balance, and distributed topology. Require experience working with business teams to dissect applications to facilitate understanding optimization opportunities. Requirements You should have experience in or exposure to the following technologies. NGFW, Cloud security, WAF, DNS RPZ, SDWAN, SDN, Microsegmentation using Zscaler or Cloudflare. Current popular Network OSes, Network virtualization, Hybrid Clouds like Azure/AWS/Google, Linux, Docker, etc. Datacenter technology EVPN/VXLAN, MP-BGP, MLAG, VARP, spine-leaf topology using Arista Networks. IPSec, MB-BGP, OSPF, IS-IS, MPLS, VRF, VXLAN, STP, IRF/Clustering, LACP, 802.1x, 802.1q, 802.11, DNS, DHCP, HTTP, SSL x509, QoS DevSecOps, Rest API, Python, Perl, C, Javascript, Powershell, Bash scripting, Ansible, Terraform, etc Zero Trust principles and least-privileges access. WAN SD-WAN and Optimization using Versa Networks. Bachelor of Science in Computer Science or Computer Engineering Certifications Current CCNP or CCIE (must) Aruba ACMP or ACSA professional certification (plus) Azure solution architect expert (plus) Zscaler certification (plus) Palo Alto PCNSE / PCSAE (plus) Wireshark WCNA (plus) About Us Every day, the oil and gas industry’s best minds put more than 150 years of experience to work to help our customers achieve lasting success. We Power the Industry that Powers the World Throughout every region in the world and across every area of drilling and production, our family of companies has provided the technical expertise, advanced equipment, and operational support necessary for success—now and in the future. Global Family We are a global family of thousands of individuals, working as one team to create a lasting impact for ourselves, our customers, and the communities where we live and work. Purposeful Innovation Through purposeful business innovation, product creation, and service delivery, we are driven to power the industry that powers the world better. Service Above All This drives us to anticipate our customers’ needs and work with them to deliver the finest products and services on time and on budget.

🚀 Senior Tableau Administrator Location : Ahmedabad / Hyderabad Experience : 6+ Years | Job Type : Full-Time Looking for Early Joiners Only Role Overview As a Senior Tableau Administrator , you will lead the administration, governance, and optimization of our enterprise Tableau environment. You will play a key role in managing high-availability Tableau Server deployments, collaborating with cross-functional teams, and ensuring secure, seamless access to dashboards and data across the organization. Key Responsibilities Tableau Server Management : Install, configure, and manage multi-node Tableau Server clusters; monitor health and performance metrics. Security & Governance : Implement RBAC, user authentication, and content security policies aligned with organizational standards. Performance Optimization : Troubleshoot server, extract refresh, and dashboard performance issues; fine-tune configurations for reliability and speed. Integration & Automation : Integrate Tableau with data sources like Snowflake, SQL Server, AD; automate admin tasks using REST API, PowerShell, or Python. Platform Upgrades : Lead Tableau Server upgrades, patch management, and migration initiatives. User Support & Enablement : Provide L2/L3 support, lead onboarding sessions, and drive user adoption across business units. Documentation : Maintain architecture diagrams, SOPs, and platform usage guidelines. Innovation : Stay current with Tableau’s roadmap, new features, and recommend enhancements for platform scalability and usage. Required Skills 6+ years of experience administering Tableau Server in enterprise environments. Strong understanding of Tableau architecture , including clustering, load balancing, and external authentication. Proficient in scripting (PowerShell, Python) and Tableau REST API for automation. Solid SQL knowledge and understanding of performance tuning for Tableau extracts/live connections. Familiarity with cloud platforms (AWS or Azure) and experience in DevOps for BI is a plus. Experience supporting data analytics teams , enabling self-service BI and implementing usage governance. Tableau Server or Desktop Certification preferred

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Roles & Responsibilities Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions for HR stakeholders Partner with senior analysts build visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Partner with HR senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyse data, define problem statements and identify KPIs for decision-making Perform and document data analysis, data validation, and data mapping/design. Collaborate with HR stakeholders to understand business objectives and translate them into projects and actionable recommendations Stay up to date with industry trends, emerging methodologies, and best practices related to reporting analytics / visualization optimization and decision support The HR data Analyst will play a critical role in ensuring the availability, integrity of HR data to drive informed decision-making. Skills and competencies Strong analytical thinking and problem-solving skills, with working knowledge of statistical analysis, optimization techniques, and decision support models. Ability to present complex information to non-technical stakeholders in a clear and concise manner; skilled in creating relevant and engaging PowerPoint presentations. Proficiency in data analysis techniques, including the use of Tableau, ETL tools (Python, R, Domino), and statistical software packages. Advanced skills in Power BI, Power Query, DAX, and data visualization best practices. Experience with data modelling, ETL processes, and connecting to various data sources. Solid understanding of SQL and relational databases. Exceptional attention to detail, with the ability to proactively detect data anomalies and ensure data accuracy. Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously. Strong capability to work with large datasets, ensuring the accuracy and reliability of analyses. Strong business acumen, with the ability to translate analytical findings into actionable insights and recommendations. Working knowledge of data modelling to support analytics needs. Experience conducting thorough Exploratory Data Analysis (EDA) to summarize, visualize, and validate data quality and trends. Ability to apply foundational data science or basic machine learning techniques (such as regression, clustering, or forecasting) when appropriate. Experience: Bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Minimum of 3+ years of total relevant experience Business experience with visualization tools (e.g., PowerBI) Experience with data querying languages (e.g., SQL), scripting languages (Python) Problem-solving skills with understanding and practical experience across most Statistical Modelling and Machine Learning Techniques. Only academic knowledge is also acceptable. Ability to handle, and maintain the confidentiality of highly sensitive information Experience initiating and completing analytical projects with minimal guidance Experience communicating results of analysis to using compelling and persuasive oral and written storytelling techniques Hands-on experience working with large datasets, statistical software packages (e.g., R, Python), and data visualization tools such as Tableau and Power BI. Experience with ETL processes, writing complex SQL queries, and data manipulation techniques. Experience in HR analytics a nice to have If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Title: Data Scientist – Python Experience: 3 to 6 Years Location: Remote Job Type: Full-Time Education: B.E./B.Tech or M.Tech in Computer Science, Data Science, Statistics, or a related field Job Summary We are seeking a talented and results-driven Data Scientist with 3–6 years of experience in Python-based data science workflows. This is a remote, full-time opportunity for professionals who are passionate about solving real-world problems using data and statistical modeling. The ideal candidate should be highly proficient in Python and have hands-on experience with data exploration, machine learning, model deployment, and working with large datasets. Key Responsibilities Analyze large volumes of structured and unstructured data to generate actionable insights Design, develop, and deploy machine learning models using Python and related libraries Collaborate with cross-functional teams including product, engineering, and business to define data-driven solutions Develop data pipelines and ensure data quality, consistency, and reliability Create and maintain documentation for methodologies, code, and processes Communicate findings and model results clearly to technical and non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Skills & Qualifications 3–6 years of experience in a data science role using Python Proficiency in Python data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) Strong statistical analysis and modeling skills Experience with machine learning algorithms (classification, regression, clustering, etc.) Familiarity with model evaluation, tuning, and deployment techniques Hands-on experience with SQL and working with large databases Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Experience with version control (Git), Jupyter notebooks, and collaborative data tools Preferred Qualifications Advanced degree (Master’s preferred) in Computer Science, Data Science, Statistics, or a related discipline Experience with deep learning frameworks like TensorFlow or PyTorch is a plus Familiarity with MLOps tools such as MLflow, Airflow, or Docker Experience in remote team collaboration and agile project environments What We Offer 100% remote work with flexible hours Competitive compensation package Access to cutting-edge tools and real-world projects A collaborative and inclusive work culture Opportunities for continuous learning and professional development Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Morning shift Work Location: In person

7 - 9 Years 2 Openings Trivandrum Role description Senior Data Engineer – Azure/Snowflake Migration Key Responsibilities Design and develop scalable data pipelines using Snowflake as the primary data platform, integrating with tools like Azure Data Factory, Synapse Analytics, and AWS services. Build robust, efficient SQL and Python-based data transformations for cleansing, enrichment, and integration of large-scale datasets. Lead migration initiatives from AWS-based data platforms to a Snowflake-centered architecture, including: o Rebuilding AWS Glue pipelines in Azure Data Factory or using Snowflake-native ELT approaches. o Migrating EMR Spark jobs to Snowflake SQL or Python-based pipelines. o Migrating Redshift workloads to Snowflake with schema conversion and performance optimization. o Transitioning S3-based data lakes (Hudi, Hive) to Snowflake external tables via ADLS Gen2 or Azure Blob Storage. o Redirecting Kinesis/MSK streaming data to Azure Event Hubs, followed by ingestion into Snowflake using Streams & Tasks or Snowpipe. Support database migrations from AWS RDS (Aurora PostgreSQL, MySQL, Oracle) to Snowflake, focusing on schema translation, compatibility handling, and data movement at scale. Design modern Snowflake lakehouse-style architectures that incorporate raw, staging, and curated zones, with support for time travel, cloning, zero-copy restore, and data sharing. Integrate Azure Functions or Logic Apps with Snowflake for orchestration and trigger-based automation. Implement security best practices, including Azure Key Vault integration and Snowflake role-based access control, data masking, and network policies. Optimize Snowflake performance and costs using clustering, multi-cluster warehouses, materialized views, and result caching. Support CI/CD processes for Snowflake pipelines using Git, Azure DevOps or GitHub Actions, and SQL code versioning. Maintain well-documented data engineering workflows, architecture diagrams, and technical documentation to support collaboration and long-term platform maintainability. Required Qualifications 7+ years of data engineering experience, with 3+ years on Microsoft Azure stack and hands-on Snowflake expertise. Proficiency in: o Python for scripting and ETL orchestration o SQL for complex data transformation and performance tuning in Snowflake o Azure Data Factory and Synapse Analytics (SQL Pools) Experience in migrating workloads from AWS to Azure/Snowflake, including services such as Glue, EMR, Redshift, Lambda, Kinesis, S3, and MSK. Strong understanding of cloud architecture and hybrid data environments across AWS and Azure. Hands-on experience with database migration, schema conversion, and tuning in PostgreSQL, MySQL, and Oracle RDS. Familiarity with Azure Event Hubs, Logic Apps, and Key Vault. Working knowledge of CI/CD, version control (Git), and DevOps principles applied to data engineering workloads. Preferred Qualifications Extensive experience with Snowflake Streams, Tasks, Snowpipe, external tables, and data sharing. Exposure to MSK-to-Event Hubs migration and streaming data integration into Snowflake. Familiarity with Terraform or ARM templates for Infrastructure-as-Code (IaC) in Azure environments. Certification such as SnowPro Core, Azure Data Engineer Associate, or equivalent. Skills Aws,Azure Data Lake,Python About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

9 - 12 Years 1 Opening Trivandrum Role description Tech Lead – Azure/Snowflake & AWS Migration Key Responsibilities Design and develop scalable data pipelines using Snowflake as the primary data platform, integrating with tools like Azure Data Factory, Synapse Analytics, and AWS services. Build robust, efficient SQL and Python-based data transformations for cleansing, enrichment, and integration of large-scale datasets. Lead migration initiatives from AWS-based data platforms to a Snowflake-centered architecture, including: o Rebuilding AWS Glue pipelines in Azure Data Factory or using Snowflake-native ELT approaches. o Migrating EMR Spark jobs to Snowflake SQL or Python-based pipelines. o Migrating Redshift workloads to Snowflake with schema conversion and performance optimization. o Transitioning S3-based data lakes (Hudi, Hive) to Snowflake external tables via ADLS Gen2 or Azure Blob Storage. o Redirecting Kinesis/MSK streaming data to Azure Event Hubs, followed by ingestion into Snowflake using Streams & Tasks or Snowpipe. Support database migrations from AWS RDS (Aurora PostgreSQL, MySQL, Oracle) to Snowflake, focusing on schema translation, compatibility handling, and data movement at scale. Design modern Snowflake lakehouse-style architectures that incorporate raw, staging, and curated zones, with support for time travel, cloning, zero-copy restore, and data sharing. Integrate Azure Functions or Logic Apps with Snowflake for orchestration and trigger-based automation. Implement security best practices, including Azure Key Vault integration and Snowflake role-based access control, data masking, and network policies. Optimize Snowflake performance and costs using clustering, multi-cluster warehouses, materialized views, and result caching. Support CI/CD processes for Snowflake pipelines using Git, Azure DevOps or GitHub Actions, and SQL code versioning. Maintain well-documented data engineering workflows, architecture diagrams, and technical documentation to support collaboration and long-term platform maintainability. Required Qualifications 9+ years of data engineering experience, with 3+ years on Microsoft Azure stack and hands-on Snowflake expertise. Proficiency in: o Python for scripting and ETL orchestration o SQL for complex data transformation and performance tuning in Snowflake o Azure Data Factory and Synapse Analytics (SQL Pools) Experience in migrating workloads from AWS to Azure/Snowflake, including services such as Glue, EMR, Redshift, Lambda, Kinesis, S3, and MSK. Strong understanding of cloud architecture and hybrid data environments across AWS and Azure. Hands-on experience with database migration, schema conversion, and tuning in PostgreSQL, MySQL, and Oracle RDS. Familiarity with Azure Event Hubs, Logic Apps, and Key Vault. Working knowledge of CI/CD, version control (Git), and DevOps principles applied to data engineering workloads. Preferred Qualifications Extensive experience with Snowflake Streams, Tasks, Snowpipe, external tables, and data sharing. Exposure to MSK-to-Event Hubs migration and streaming data integration into Snowflake. Familiarity with Terraform or ARM templates for Infrastructure-as-Code (IaC) in Azure environments. Certification such as SnowPro Core, Azure Data Engineer Associate, or equivalent. Skills Azure,AWS REDSHIFT,Athena,Azure Data Lake About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Requisition id:1631551 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your Key Responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills And Attributes For Success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What We Look For People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What Working At EY Offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

5 - 7 Years 1 Opening Trivandrum Role description Role Proficiency: Resolve enterprise trouble tickets within agreed SLA and raise problem tickets for permanent resolution and/or provide mentorship (Hierarchical or Lateral) to junior associates Outcomes: 1) Update SOP with updated troubleshooting instructions and process changes2) Mentor new team members in understanding customer infrastructure and processes3) Perform analysis for driving incident reduction4) Escalate high priority incidents to customer and organization stakeholders for quicker resolution5) Contribute to planning and successful migration of platforms 6) Resolve enterprise trouble tickets within agreed SLA and raise problem tickets for permanent resolution7) Provide inputs for root cause analysis after major incidents to define preventive and corrective actions Measures of Outcomes: 1) SLA Adherence2) Time bound resolution of elevated tickets - OLA3) Manage ticket backlog timelines - OLA4) Adhere to defined process – Number of NCs in internal/external Audits5) Number of KB articles created6) Number of incidents and change ticket handled 7) Number of elevated tickets resolved8) Number of successful change tickets9) % Completion of all mandatory training requirements Outputs Expected: Resolution: Understand Priority and Severity based on ITIL practice resolve trouble ticket within agreed resolution SLA Execute change control tickets as documented in implementation plan Troubleshooting: Troubleshooting based on available information from previous tickets or consulting with seniors Participate in online knowledge forums reference. Covert the new steps to KB article Perform logical/analytical troubleshooting Escalation/Elevation: Escalate within organization/customer peer in case of resolution delay. Understand OLA between delivery layers (L1 L2 L3 etc) adhere to OLA. Elevate to next level work on elevated tickets from L1 Tickets Backlog/Resolution: Follow up on tickets based on agreed timelines manage ticket backlogs/last activity as per defined process. Resolve incidents and SRs within agreed timelines. Execute change tickets for infrastructure Installation: Install and configure tools software and patches Runbook/KB: Update KB with new findings Document and record troubleshooting steps as knowledge base Collaboration: Collaborate with different towers of delivery for ticket resolution (within SLA resolve L1 tickets with help from respective tower. Collaborate with other team members for timely resolution of tickets. Actively participate in team/organization-wide initiatives. Co-ordinate with UST ISMS teams for resolving connectivity related issues. Stakeholder Management: Lead the customer calls and vendor calls. Organize meeting with different stake holders. Take ownership for function's internal communications and related change management. Strategic: Define the strategy on data management policy management and data retention management. Support definition of the IT strategy for the function’s relevant scope and be accountable for ensuring the strategy is tracked benchmarked and updated for the area owned. Process Adherence: Thorough understanding of organization and customer defined process. Suggest process improvements and CSI ideas. Adhere to organization’ s policies and business conduct. Process/efficiency Improvement: Proactively identify opportunities to increase service levels and mitigate any issues in service delivery within the function or across functions. Take accountability for overall productivity efforts within the function including coordination of function specific tasks and close collaboration with Finance. Process Implementation: Coordinate and monitor IT process implementation within the function Compliance: Support information governance activities and audit preparations within the function. Act as a function SPOC for IT audits in local sites (incl. preparation interface to local organization mitigation of findings etc.) and work closely with ISRM (Information Security Risk Management). Coordinate overall objective setting preparation and facilitate process in order to achieve consistent objective setting in function Job Description. Coordination Support for CSI across all services in CIS and beyond. Training: On time completion of all mandatory training requirements of organization and customer. Provide On floor training and one to one mentorship for new joiners. Complete certification of respective career paths. Performance Management: Update FAST Goals in NorthStar track report and seek continues feedback from peers and manager. Set goals for team members and mentees and provide feedback Assist new team members to understand the customer environment Skill Examples: 1) Good communication skills (Written verbal and email etiquette) to interact with different teams and customers. 2) Modify / Create runbooks based on suggested changes from juniors or newly identified steps3) Ability to work on an elevated server ticket and solve4) Networking:a. Trouble shooting skills in static and Dynamic routing protocolsb. Should be capable of running netflow analyzers in different product lines5) Server:a. Skills in installing and configuring active directory DNS DHCP DFS IIS patch managementb. Excellent troubleshooting skills in various technologies like AD replication DNS issues etc.c. Skills in managing high availability solutions like failover clustering Vmware clustering etc.6) Storage and Back up:a. Ability to give recommendations to customers. Perform Storage & backup enhancements. Perform change management.b. Skilled in in core fabric technology Storage design and implementation. Hands on experience on backup and storage Command Line Interfacesc. Perform Hardware upgrades firmware upgrades Vulnerability remediation storage and backup commissioning and de-commissioning replication setup and management.d. Skilled in server Network and virtualization technologies. Integration of virtualization storage and backup technologiese. Review the technical diagrams architecture diagrams and modify the SOP and documentations based on business requirements.f. Ability to perform the ITSM functions for storage & backup team and review the quality of ITSM process followed by the team.7) Cloud:a. Skilled in any one of the cloud technologies - AWS Azure GCP.8) Tools:a. Skilled in administration and configuration of monitoring tools like CA UIM SCOM Solarwinds Nagios ServiceNow etcb. Skilled in SQL scriptingc. Skilled in building Custom Reports on Availability and performance of IT infrastructure building based on the customer requirements9) Monitoring:a. Skills in monitoring of infrastructure and application components10) Database:a. Data modeling and database design Database schema creation and managementb. Identify the data integrity violations so that only accurate and appropriate data is entered and maintained.c. Backup and recoveryd. Web-specific tech expertise for e-Biz Cloud etc. Examples of this type of technology include XML CGI Java Ruby firewalls SSL and so on.e. Migrating database instances to new hardware and new versions of software from on premise to cloud based databases and vice versa.11) Quality Analysis: a. Ability to drive service excellence and continuous improvement within the framework defined by IT Operations Knowledge Examples: 1) Good understanding of customer infrastructure and related CIs. 2) ITIL Foundation certification3) Thorough hardware knowledge 4) Basic understanding of capacity planning5) Basic understanding of storage and backup6) Networking:a. Hands-on experience in Routers and switches and Firewallsb. Should have minimum knowledge and hands-on with BGPc. Good understanding in Load balancers and WAN optimizersd. Advance back and restore knowledge in backup tools7) Server:a. Basic to intermediate powershell / BASH/Python scripting knowledge and demonstrated experience in script based tasksb. Knowledge of AD group policy management group policy tools and troubleshooting GPO sc. Basic AD object creation DNS concepts DHCP DFSd. Knowledge with tools like SCCM SCOM administration8) Storage and Backup:a. Subject Matter Expert in any of the Storage & Backup technology9) Tools:a. Proficient in the understanding and troubleshooting of Windows and Linux family of operating systems10) Monitoring:a. Strong knowledge in ITIL process and functions11) Database:a. Knowledge in general database management b. Knowledge in OS System and networking skills Additional Comments: Role - Cloud Engineer Primary Responsibilities • Engineer and support a portfolio of tools including: o HashiCorp Vault (HCP Dedicated), Terraform (HCP), Cloud Platform o GitHub Enterprise Cloud (Actions, Advanced Security, Copilot) o Ansible Automation Platform, Env0, Docker Desktop o Elastic Cloud, Cloudflare, Datadog, PagerDuty, SendGrid, Teleport • Manage infrastructure using Terraform, Ansible, and scripting languages such as Python and PowerShell • Enable security controls including dynamic secrets management, secrets scanning workflows, and cloud access quotas • Design and implement automation for self-service adoption, access provisioning, and compliance monitoring • Respond to user support requests via ServiceNow and continuously improve platform support documentation and onboarding workflows • Participate in Agile sprints, sprint planning, and cross-team technical initiatives • Contribute to evaluation and onboarding of new tools (e.g., remote developer access, artifact storage) Key Projects You May Lead or Support • GitHub secrets scanning and remediation with integration to HashiCorp Vault • Lifecycle management of developer access across tools like GitHub and Teleport • Upgrades to container orchestration environments and automation platforms (EKS, AKS) Technical Skills and Experience • Proficiency with Terraform (IaC) and Ansible • Strong scripting experience in Python, PowerShell, or Bash • Experience operating in cloud environments (AWS, Azure, or GCP) • Familiarity with secure development practices and DevSecOps tooling • Exposure to or experience with: o CI/CD automation (GitHub Actions) o Monitoring and incident management platforms (Datadog, PagerDuty) o Identity providers (AzureAD, Okta) o Containers and orchestration (Docker, Kubernetes) o Secrets management and vaulting platforms Soft Skills and Attributes • Strong cross-functional communication skills with technical and non-technical stakeholders • Ability to work independently while knowing when to escalate or align with other engineers or teams. • Comfort managing complexity and ambiguity in a fast-paced environment • Ability to balance short-term support needs with longer-term infrastructure automation and optimization. • Proactive, service-oriented mindset focused on enabling secure and scalable development • Detail-oriented, structured approach to problem-solving with an emphasis on reliability and repeatability. Skills Terraform,Ansible,Python,PowershellorBash,AWS,AzureorGCP,CI/CDautomation About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Role: DC LEAD Location : Gurgaon Sammaan Capital's corporate office at Augusta Point is located at 4th Floor, Augusta Point, Golf Course Road, DLF Phase-5, Sector-53, Gurugram, Haryana -122002, India. EXP: 8-9YRS BUDGET : 10-12LPA Working Days : 6 WFO Look for immediate joiners only 1. JOB DESCRIPTION – Data Centre Lead/ Data Centre Operation Manager 1. Windows Server Administration Windows Server (2016/2019/2022) installation, configuration, and troubleshooting Active Directory (AD) management, Group Policy, and Domain Controllers DNS, DHCP, and network services configuration PowerShell scripting for automation 2. Virtualization & Cloud Hyper-V and VMware administration Virtual Machine (VM) provisioning and maintenance 3. Security & Compliance Patch management and Windows Update services (WSUS) Endpoint security, antivirus, and malware protection Compliance with IT security frameworks (ISO 27001, NIST, GDPR) 4. Monitoring & Performance Optimization Performance tuning and resource optimization Monitoring tools (ME , Zabbix) Troubleshooting high CPU, memory, disk, and network utilization issues 5. High Availability & Disaster Recovery Failover clustering and load balancing Disaster recovery planning and execution Windows Server Backup and restore strategies 7. Incident & Problem Management ITIL framework and service management best practices RCA (Root Cause Analysis) and incident handling

Business Summary The Deltek Global Cloud team focuses on the delivery of first-class services and solutions for our customers. We are an innovative and dynamic team that is passionate about transforming the Deltek cloud services that power our customers' project success. Our diverse, global team works cross-functionally to make an impact on the business. If you want to work in a transformational environment, where education and training are encouraged, consider Deltek as the next step in your career! Position Responsibilities As a Senior Manager for the DevOps Engineering and Automation team, you will lead a team of skilled DevOps engineers responsible for automating infrastructure provisioning, configuration, and CI/CD pipelines for a portfolio of Enterprise solutions. With a strong DevOps transformational background, you will leverage your expertise in DevOps practices and tools and public clouds (AWS, OCI) to develop strategic initiatives that enhance the efficiency, scalability, and reliability of our deployment processes. Additionally, you will have significant experience in people management, strategy development, and cross-functional collaboration. Key Responsibilities: Strategic Leadership: Help develop and implement a strategic roadmap for DevOps practices, automation, and infrastructure management. Identify and prioritize opportunities for process improvements, cost efficiencies, and technological advancements. Collaborate with senior leadership to align DevOps strategies with business objectives and goals. Team Management: Lead, mentor, and develop a team of DevOps engineers, fostering a culture of collaboration, innovation, and continuous improvement. Manage team performance, set clear goals, and provide regular feedback and professional development opportunities. Recruit and onboard top talent to build a high-performing DevOps team. Infrastructure Provisioning and Configuration: Oversee the development and maintenance of infrastructure as code (IaC) using Terraform for provisioning cloud resources. Ensure the creation and maintenance of Ansible playbooks for automated configuration and management of infrastructure and applications. Implement best practices for infrastructure scalability, security, and cost management. CI/CD Pipeline Implementation: Guide and support the design, implementation, and management of CI/CD pipelines to automate the build, testing, and deployment of applications and services. Ensure integration of CI/CD pipelines with version control systems, build tools, and monitoring solutions. Promote practices that support automated testing, security scans, and compliance checks. Cloud Deployment and Management: Direct the deployment and management of applications and services in public cloud environments such as AWS and OCI. Utilize cloud-native services and tools to enhance application performance and reliability. Implement robust monitoring, troubleshooting, and disaster recovery solutions for cloud deployments. Cross-Functional Collaboration: Work closely with Engineering and Delivery stakeholders to ensure alignment and successful deployments. Facilitate design and code reviews, ensuring adherence to high standards of quality and performance. Drive cross-functional initiatives to improve process efficiency and project outcomes. Qualifications Qualifications: Education: Bachelor’s degree in Computer Science (strongly preferred), Information Technology, or a related field. Master’s degree preferred. Experience: Minimum of 8 years of experience in DevOps, cloud infrastructure, and automation, with at least 3 years in a leadership role. Skills: Expertise in Infrastructure and automated configuration tools for infrastructure provisioning or automated configuration management. Proven experience in designing and implementing CI/CD pipelines using tools such as Jenkins, Azure DevOps, GitLab CI, or CircleCI. Extensive hands-on experience with AWS and OCI, including services like EC2, S3, Lambda, VCN, and OCI Compute. Strong understanding of containerization and orchestration tools like Docker and Kubernetes. Knowledge of Oracle and SQL Server, including clustering, replication, partitioning, and indexing. Excellent scripting skills in languages such as Python, Bash, or PowerShell. Proficiency in monitoring and logging tools like Prometheus, Grafana, ELK stack, or CloudWatch. Strong leadership, communication, and interpersonal skills. Preferred Qualifications: Certifications: AWS Certified DevOps Engineer, Terraform Certified Associate, or similar.

Position Overview At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company's growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. NTT DATA, Inc. currently seeks Database Administration Specialist to join our team in India. Database Administration Specialist will be responsible for the implementation, configuration, maintenance, and performance of critical SQL Server RDBMS systems, to ensure the availability and consistent performance of our client applications. This is a "hands-on" position requiring solid technical skills, as well as excellent interpersonal and communication skills. Position General Duties and Tasks Skills & Qualifications Manage SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems. Configure and maintain database servers and processes, including monitoring of system health and performance, to ensure high levels of performance, availability, and security. Database performance tuning. Planning, deploying, maintaining, troubleshooting of high-availability database environments (Always-On, Clustering, Mirroring, etc.). Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end. Refine and automate regular processes, track issues, and document changes, for effeciency and cost optimization. Provide 24x7 support for critical production systems. Perform scheduled maintenance and support release deployment activities after hours. Share domain and technical expertise, providing technical mentorship and cross-training to other peers and team members. Work directly with end customer, business stakeholders as well as technical resources. Skills & Qualifications 6 + years of experience on SQL Server 2008/2012/Above versions in database administration, in an enterprise environment with multiple database servers is required. Experience with Performance Tuning and Optimization (PTO), using native monitoring and troubleshooting tools Experience with backups, restores and recovery models Experience with database administration Experience with incident and problem queue management. Knowledge of High Availability (HA) and Disaster Recovery (DR) options for SQL Server Experience working with Windows server, including Active Directory Excellent written and verbal communication, problem solving skills Flexible, team player, "get-it-done" personality Ability to work independently, with little or no direct supervision. Ability to work in a rapidly changing environment Ability to multi-task and context-switch effectively between different activities and teams Strong ITIL foundation, Continual Service Improvement and Total Quality Management experiences. Nice to Have: (Optional) Experience with scripting. Experience in SSIS, SSRS, T-SQL. Experience supporting Logical DBA activities. Experience complex query tuning and schema refinement. MCTS, MCITP, and/or MVP certifications a plus Preferred Education: Bachelors in Computer Science or equivalent.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources. Retrieves, analyzes and summarizes business, operations, employee, customer and/or economic data in order to develop business intelligence, optimize effectiveness, predict business outcomes and decision-making purposes. Involved with numerous key business decisions by conducting the analyses that inform our business strategy. This may include: impact measurement of new products or features via normalization techniques, optimization of business processes through robust A/B testing, clustering or segmentation of customers to identify opportunities of differentiated treatment, deep dive analyses to understand drivers of key business trends, identification of customer sentiment drivers through natural language processing (NLP) of verbatim responses to Net Promotor System (NPS) surveys and development of frameworks to drive upsell strategy for existing customers by balancing business priorities with customer activity. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description Core Responsibilities Work with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools. Combines data as needed from disparate data sources to complete analysis from multiple sources. Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. Develops forecasting models to predict business key metrics. Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. Mandatory Skills: SQL Tableau Good Story telling capabilities Nice to have skills: PPT creation Databricks Spark LLM Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Job Title: Technical Internship – Programmer (AI/ML Focus) Location: Coimbatore, Tamil Nadu Company: Angler Technologies Duration: full-time conversion Eligibility: Recent graduates or final year students from Engineering Science with specialization in Artificial Intelligence and Machine Learning Job Description: We are looking for enthusiastic and innovative AI/ML Interns to join our technical team at Angler Technologies. This is a unique opportunity for fresh graduates to work on real-world AI/ML projects, build intelligent systems, and gain hands-on experience in programming, data science, and modern AI frameworks. Key Responsibilities: Assist in the development, training, and deployment of Machine Learning and AI models Work with data collection, preprocessing, and annotation tasks Collaborate with the product and software teams to integrate AI/ML features into applications Support documentation, testing, and debugging of code modules Participate in code reviews and knowledge-sharing sessions Required Skills & Qualifications: Strong foundation in programming (python, asp.net, HTML, CSS, JavaScript preferred) Understanding of basic AI/ML concepts (classification, regression, clustering, NLP, etc.) Analytical thinking and problem-solving mindset Good communication and teamwork skills Eagerness to learn and apply new technologies Preferred Background: B.E/B.Tech (AI/ML) B.Sc/BCA/M.Sc/MCA with specialization in AI/ML/Data Science Academic or hobby projects in AI/ML will be a bonus Perks & Benefits: Stipend based on performance and project contributions Hands-on training and mentorship Opportunity to work on live projects Certificate of Internship & Letter of Recommendation Potential for full-time employment post internship Job Types: Full-time, Permanent, Fresher Pay: ₹4,643.26 - ₹8,597.81 per month Benefits: Paid sick time Paid time off Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Job Information: Work Experience: 4-5 years Industry: IT Services Job Type: FULL TIME Location: Noida, India Job Overview: We are seeking a skilled Data Engineer with 4-5 years of experience to design, build, and maintain scalable data pipelines and analytics solutions within the AWS cloud environment. The ideal candidate will leverage AWS Glue, PySpark, and QuickSight to deliver robust data integration, transformation, and visualization capabilities. This role is critical in supporting business intelligence, analytics, and reporting needs across the organization. Key Responsibilities: Design, develop, and maintain data pipelines using AWS Glue, PySpark, and related AWS services to extract, transform, and load (ETL) data from diverse sources. Build and optimize data warehouse/data lake infrastructure on AWS, ensuring efficient data storage, processing, and retrieval. Develop and manage ETL processes to source data from various systems, including databases, APIs, and file storage, and create unified data models for analytics and reporting. Implement and maintain business intelligence dashboards using Amazon QuickSight, enabling stakeholders to derive actionable insights. Collaborate with cross-functional teams (business analysts, data scientists, product managers) to understand requirements and deliver scalable data solutions. Ensure data quality, integrity, and security throughout the data lifecycle, implementing best practices for governance and compliance. Support self-service analytics by empowering internal users to access and analyze data through QuickSight and other reporting tools. Troubleshoot and resolve data pipeline issues, optimizing performance and reliability as needed. Required Skills & Qualifications: Proficiency in AWS cloud services: AWS Glue, QuickSight, S3, Lambda, Athena, Redshift, EMR, and related technologies. Strong experience with PySpark for large-scale data processing and transformation. Expertise in SQL and data modeling for relational and non-relational databases. Experience building and optimizing ETL pipelines and data integration workflows. Familiarity with business intelligence and visualization tools, especially Amazon QuickSight. Knowledge of data governance, security, and compliance best practices. Strong programming skills in Python; experience with automation and scripting. Ability to work collaboratively in agile environments and manage multiple priorities effectively. Excellent problem-solving and communication skills. Preferred Qualifications: AWS certification (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Developer). Good to Have Skills: Understanding of machine learning, deep learning and Generative AI concepts, Regression, Classification, Predictive modeling, Clustering, Deep Learning. Interview Process Internal Assessment 3 Technical Rounds

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: We are looking for a Sr Product Manager to lead a foundational product area at the heart of PayPal’s Conversational AI strategy. This role will be responsible for creating and scaling the AI Insights and Search capabilities that power opportunity discovery and knowledge management of our platform clients launching and managing AI Agents. This leader will drive two critical workstreams: Lead product strategy & vision for the AI Assistant Search and RAG tooling shaping how we enable platform clients (inc. AI Agents) to access up-to-date knowledge. Lead product strategy & vision for AI Assistant Insights and Discovery – leveraging and expanding the work with AI search to build the pipelines and infrastructure that allow platform clients to make the most of unstructured data (transcripts, feedback) for the purpose of: Opportunity discovery and topic modeling/clustering Automated agentic prompt generation Automated test case generation Customer modeling (simulation) If you're passionate about building intelligent systems that learn from data, thrive at the intersection of AI, product, and platform, and want to make a direct impact on millions of users, this is your role. Job Description: Essential Responsibilities: Uses data to build insights on product requirements consistent with the shared vision for the product. Gathers insights from the customer experience and customer needs to input to product requirements Analyzes research, market analysis and usability studies, research and market analysis to support data-driven decision making Monitors product profitability measures, including budget. Lead sprint planning, daily standups and retrospectives to drive execution. Interfaces with product leadership as needed. Partners with content developers, data scientists, product designers and user experience researchers to identify new opportunities. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128882