5906 Retrieval Jobs - Page 40

About Us Restroworks (formerly Posist) is a leading cloud-based enterprise technology platform that powers over 20,000 restaurants globally. Restroworks offers a unified cloud technology platform that streamlines restaurants' Front-of-House (FOH), Back-of-House (BOH), Integrations, Analytics, and CRM. Renowned restaurant chains, including Taco Bell, Subway, Carl’s Jr, Sbarro Pizza, are powered by the platform. Restroworks is certified with ISO 27001, ISO 27017, ISO 27701, SOC1 Type 2, SOC 2 Type 2, and GDPR compliant. The company is a Great Place to Work-Certified™ organization, placing it among one of the top employers of choice. Restroworks is on a mission to make global restaurants prosperous. For more information, visit www.restroworks.com Job Description We are seeking a results-oriented IT administrator to manage our company's computer infrastructure and supervise our IT department. Person will be upgrading and installing hardware and software, performing troubleshooting to resolve IT issues, and maintaining our networks and servers. To ensure success as an IT administrator, one should possess extensive experience in IT administration and the ability to optimize the performance of our IT infrastructure. An accomplished IT administrator will be someone whose technical expertise results in enhanced IT system efficiency across company structures. Responsibilities: Monitoring and maintaining networks and servers. Upgrading, installing and configuring new hardware and software to meet company objectives. Implementing security protocols and procedures to prevent potential threats. Creating user accounts and performing access control. Performing diagnostic tests and debugging procedures to optimize computer systems. Documenting processes, as well as backing up and archiving data. Developing data retrieval and recovery procedures. Designing and implementing efficient end-user feedback and error reporting systems. Supervising and mentoring IT department employees, as well as providing IT support. Keeping up to date with advancements and best practices in IT administration. Requirements: Bachelor's degree in computer science, information technology, information systems, or similar. Applicable professional qualification, such as Microsoft, Oracle, or Cisco certification. At least two years' experience in a similar role. Extensive experience with IT systems, networks, and related technologies. Should be well versed in handling windows, IOS based devices and applications and should have handled Window based laptops and MacBooks. Should be well versed in handling Linux/Unix Servers with shell scripting, This is a mandatory skill. Solid knowledge of best practices in IT administration and system security. Exceptional leadership, organizational, and time management skills. Strong analytical and problem-solving skills. Excellent interpersonal and communication skills.

Job Responsibilities Conduct in-process quality checks at various stages of manufacturing, including sampling, inspections, and testing, to ensure compliance with SOPs and regulatory requirements. Review and compile complete batch records (BMR and BPR) prior to release. Monitor steps followed in manufacturing and packing are as per standard operating procedure. Ensure all instruments are calibrated and validations are carried out in timely manner. Issue Validation Protocol, Method Validation Protocol, URS & Qualification as per the schedule. Monitor critical process parameters, such as temperature, pressure, pH, and mixing times, to ensure they are within specified ranges. Review and approve batch records, manufacturing instructions, and other relevant documents to verify compliance with established procedures and specifications. Perform line clearance activities to ensure proper segregation and cleanliness of manufacturing areas, equipment, and materials. Collect and analyze samples during production runs for physical, chemical, and microbiological testing as per defined sampling plans. Withdraw stability sample & control samples for analysis at intermediate and finished product stage. Issue, Review & Maintain Change Control of Site, Corporate & their respective logs. Issue controlled copies and retrieval of old RMS, FPS, SPS, PMS, RM & PM Item Code List. Coordinate with the quality control (QC) department for timely testing and release of in-process samples. Investigate and document deviations, non-conformances, and out-of-specification results, and collaborate with the appropriate teams to identify root causes and implement corrective actions. Assist in the implementation and maintenance of quality systems, including change control, risk assessment, and document control. Support internal and external audits by providing necessary documentation and participating in audit activities. Collaborate with cross-functional teams, including manufacturing, quality assurance, and regulatory affairs, to resolve quality-related issues and drive continuous improvement initiatives. Maintain accurate and up-to-date records of all IPQA activities and documentation, ensuring compliance with GMP (Good Manufacturing Practices) and other regulatory guidelines. Identify and report the non-compliances observed in individual departments. Issue controlled copies & retrieval of old SOPs and QAPs. Handling of Deviations & CAPA. Handling / investigation of product complaints, incident reports, batch failures and product recalls. Preparation, Updation, issuance, retrieval of Price list. Document submission as per Regulatory requirement. Any other assignments allocated by Unit QA from time to time responsibilities Stay informed about current industry practices, regulatory requirements, and quality trends to enhance IPQA processes. Pedigree B.Pharm/ M.Pharm with minimum 1-3 Years of experience in IPQA

Level - Specialist / Developer Experience – 4 Years to 6 Years Location - Bangalore, Chennai, Hyderabad, Noida Job Title - AI / ML - Data science in Test- 17464 Primary Skil l- Programming Language Python About Us Qualitest, The World’s Leading AI-Powered Quality Engineering Company Qualitest is the world’s leading managed services provider of AI-led quality engineering solutions. It helps brands transition through the digital assurance journey and make the move from conventional functional testing to adopt innovations such as automation, AI, blockchain, and XR. Qualitest’s core mission is to mitigate business risks associated with digital adoption. It fulfills this through customized quality engineering solutions that leverage Qualitest’s deep, industry-specific knowledge for various sectors, including technology, telecommunications, finance, healthcare, media, utilities, retail, manufacturing, and defense. These scalable solutions protect brands through end-to-end value demonstration with a focus on customer experience and release velocity. A pioneer and innovator in its industry, Qualitest has been recognized in the highest Leader position in Everest Group's Quality Engineering Services for Mid-market Enterprises PEAK Matrix® Assessment 2024 report and has also been recognized as a Leader in The Forrester Wave™️: Continuous Automation and Testing Services Q2 2024 report. Qualitest has offices in the United States, United Kingdom, Israel, Romania, India, Mexico, Portugal, Switzerland, and Argentina Role & Responsibility Must Have 5+ Years Experience in Data Science in Test (AI/ML/Testing) R language experience is a must Ability to learn new AI/ML tools and use them effectively Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Demonstrated experience data retrieval from various SDLC systems and analytic reporting databases. Familiarity with databases and database query languages such as MySQL, Access, and SQL. Experience with Python and other programming languages. Ability to interface effectively with clients and work constructively on a team. Excellent verbal and written communications skills. Experience with cloud computing environments and data science tools such as AWS, Sage Maker, GCP and Databricks. Experience with NLP algorithms such as LSA, LDA, and QNLI. Experience with JIRA, Confluence, and GitHub. Knowledge of software engineering and structured software development. Demonstrated ability performing statistical data analysis. 3 Must Skills AI / ML R language Python LLM

We are seeking a Data Scientist with strong experience in developing and implementing RAG (Retrieval-Augmented Generation) ontology , specifically in Azure environments . 📌 Key Responsibilities: Design, develop, and implement RAG-based ontology inside Azure. Reconcile and map policies, laws, and regulations using advanced tech frameworks. Collaborate with local junior developers (from academic institutions). Deliver full-time contributions aligned with US working hours (first half) . Operate in an agile , fast-moving, and innovation-focused environment. 🎯 Must-Haves: Strong technical expertise in RAG architecture and Azure. Ability to provide domain-specific answers and guidance (e.g., in healthcare policy) without relying on AI assistance. Comfortable taking risks and iterating quickly ("fail forward") in a startup-like, agile setting. A self-starter who thrives with minimal supervision and drives results independently. Clear communicator, with a focus on collaboration and problem-solving.

Artificial Intelligence (AI) Engineer Job Summary We are seeking a skilled and innovative AI Engineer with 4–5 years of hands-on experience in designing, developing, and deploying AI solutions. You will work on cutting-edge projects involving machine learning, deep learning, and generative AI to solve complex business challenges. Key Responsibilities Design and implement AI models using frameworks like TensorFlow , PyTorch , or Keras Develop and fine-tune LLMs (Large Language Models) and integrate them into applications using platforms like Azure OpenAI Build and optimize RAG (Retrieval-Augmented Generation) workflows for enhanced content generation Apply prompt engineering techniques to improve model performance Collaborate with data scientists and software engineers to deploy models in cloud environments (AWS, Azure, GCP) Monitor and evaluate model performance, ensuring scalability and efficiency Build conversational AI agents using tools like Lang Graph , Crew AI , or similar Stay updated with the latest AI research and incorporate best practices into development Required Skills & Qualifications Bachelor’s or master’s degree in computer science, AI , or related field Experience with GenAI tools and frameworks Strong programming skills in Python or R Proficiency in machine learning , deep learning , and NLP Excellent problem-solving and communication skills.

About the Role: We are seeking a highly skilled Senior Data Engineer with extensive experience in Google Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and optimizing data pipelines and architectures to support our data-driven decision-making processes. You will collaborate with cross-functional teams to ensure the seamless integration and utilization of data across the organization. Key Responsibilities Design and develop scalable data pipelines and architectures using Google Cloud Platform (GCP) services. Create and maintain optimum data pipeline architecture for ingestion, storage, processing & transformation of data for building data products for analytics Implement data integration solutions to consolidate data from various sources. Build the optimal data extraction & transformation mechanisms for various kinds of data. Optimize data storage and retrieval processes for performance and cost-efficiency. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality, integrity, and security across all data processes. Conduct pro-active performance and fine tuning for early detection and rectification of slow response, application errors, tuning, and implement corrective and preventive actions. Monitor and troubleshoot data pipeline issues to ensure continuous data flow. Build data pipelines which are scalable, resilient and sustainable to address business requirements. Excellent problem-solving skills and attention to detail. Stay updated with the latest trends and best practices in data engineering and Google Cloud technologies. Be Part Of An Extraordinary Story Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Job Posting Jul 10, 2025, 1:31:05 PM Required Skills Proven experience as a Senior Data Engineer, with a focus on Google Cloud Platform (GCP). Strong proficiency in GCP services such as BigQuery, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and Cloud Storage. Expertise in SQL and database management. Experience with ETL processes and tools. Proficiency in Python programming language. Knowledge of data modeling, data warehousing, and data lakes. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills Experience with machine learning and AI frameworks. Knowledge of containerization and orchestration tools. Experience with data visualization tools (Tableau, PowerBI, Looker). Understanding of data governance and compliance standards. Knowledge of airline domain Knowledge of agile/lean development methodologies About You The applicant should have a bachelor’s degree or equivalent (Degree in engineering, computer applications, commerce, or business administration). You must have minimum 8 years of data engineering experience.Should have excellent verbal and written communications skills. Also possess good analytical, interpersonal skills and a proven team player. About Qatar Airways Group Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How To Apply If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 12. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Educational Qualification: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus.

This role will be responsible for leading the implementation and maintenance of database systems, ensuring their performance, security and integrity. You will be involved in the software development lifecycle (SDLC) working closely with developers and other data analysts to optimize data management and retrieval processes. What you’ll be doing: Database Management: Implement and maintain robust database systems using Azure, SQL Server, and NoSQL databases. Performance Optimization: Ensure optimal performance, reliability, and scalability of database systems. SaaS Integration: Develop and manage database solutions for SaaS applications, ensuring seamless integration and performance. Scripting and Automation: Develop and maintain scripts and automation tools to streamline database operations. Data Security: Implement and enforce data security measures to protect sensitive information. Monitoring: Monitor database performance and ensure high availability and security Troubleshooting: Diagnose and resolve database-related issues promptly and efficiently. Documentation: Maintain comprehensive documentation of database configurations, processes, and procedures. What we’ll want you to have: Experience: Minimum of 5 years of experience in database engineering. Technical Skills: Azure Expertise: Extensive experience with Azure SQL Database, Azure Cosmos DB, and other Azure data services. Proficiency in deploying, managing, and scaling databases in Azure. Knowledge of Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics. Experience with Azure Resource Manager (ARM) templates and Azure DevOps for CI/CD pipelines. SQL Server Expertise: In-depth knowledge of SQL Server architecture, performance tuning, and query optimization. Experience with SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS). Proficiency in database backup, recovery, and high availability solutions such as Always On Availability Groups. NoSQL Databases: Proven experience with NoSQL databases like MongoDB, Cassandra, or Couchbase. SQL and Scripting Tools: Advanced proficiency in SQL and scripting tools such as PowerShell, Python, or Bash. SaaS Experience: Proven experience in developing and managing database solutions for SaaS applications. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Able to work flexible hours as required by business priorities Able to deliver work that meet standards of quality, security and operability. Preferred Qualifications: Experience with cloud-based database solutions. Knowledge of data warehousing and ETL processes. Familiarity with DevOps practices and tools. Certifications: Azure data and SQL server certifications Stay up to date on everything Blackbaud, Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. 3 years of experience testing, maintaining, or launching software products. 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. We deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers. Responsibilities Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

This role will be responsible for leading the design, implementation and maintenance of database systems, ensuring their performance, security and integrity. You will be involved in the software development lifecycle (SDLC) working closely with developers and other data analysts to optimize data management and retrieval processes. What you’ll be doing: Technical Leadership: Coach and mentor team members and DBAs to enhance their technical skills and knowledge in the database engineering domain. Strategy Development: Collaborate with stakeholders to set and implement the technical strategy for database management and development. Database Management: Design, implement, and maintain robust database systems using Azure, SQL Server, and NoSQL databases. Performance Optimization: Ensure optimal performance, reliability, and scalability of database systems. SaaS Integration: Develop and manage database solutions for SaaS applications, ensuring seamless integration and performance. Scripting and Automation: Develop and maintain scripts and automation tools to streamline database operations. Data Security: Implement and enforce data security measures to protect sensitive information. Monitoring: Monitor database performance and ensure high availability and security Troubleshooting: Diagnose and resolve database-related issues promptly and efficiently. Documentation: Maintain comprehensive documentation of database configurations, processes, and procedures. What we’ll want you to have: Experience: Minimum of 8 years of experience in database engineering. Technical Skills: Azure Expertise: Extensive experience with Azure SQL Database, Azure Cosmos DB, and other Azure data services. Proficiency in deploying, managing, and scaling databases in Azure. Knowledge of Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics. Experience with Azure Resource Manager (ARM) templates and Azure DevOps for CI/CD pipelines. SQL Server Expertise: In-depth knowledge of SQL Server architecture, performance tuning, and query optimization. Experience with SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS). Proficiency in database backup, recovery, and high availability solutions such as Always On Availability Groups. NoSQL Databases: Proven experience with NoSQL databases like MongoDB, Cassandra, or Couchbase. SQL and Scripting Tools: Advanced proficiency in SQL and scripting tools such as PowerShell, Python, or Bash. SaaS Experience: Proven experience in developing and managing database solutions for SaaS applications. Leadership: Proven ability to coach and mentor team members. Strategic Thinking: Experience in setting and executing technical strategies. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Able to work flexible hours as required by business priorities Able to deliver work that meets quality, security and operability standards. Preferred Qualifications: Experience with cloud-based database solutions. Knowledge of data warehousing and ETL processes. Familiarity with DevOps practices and tools. Certifications: Azure data and SQL server certifications Stay up to date on everything Blackbaud, Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Line of Service Advisory Industry/Sector GPS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In business analysis at PwC, you will focus on analysing and interpreting data to provide strategic insights and recommendations for improving business performance. Your work will involve strong analytical skills and the ability to effectively communicate findings to stakeholders. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 157 countries with more than 300,000 people who are committed to delivering quality in Assurance, Advisory and Tax services. Within Advisory, PwC has a large team that focus on transformation in Government through Digital inclusion. The open position is for a candidate who desires to work with government clients and bring about a change in society. A successful candidate will be expected to work pro-actively and effectively on multiple client engagements over the period of time and take ownership of the entire project delivery he/she entrusted with. Responsibilities: · Lead the design and implementation of AI/ML models, particularly in the areas of Generative AI and advanced data analytics · Develop and fine-tune large language models (LLMs) and transformer-based architectures for specific use cases · Collaborate with data engineers, product owners and business stakeholders to translate requirements into intelligent solutions · Deploy ML models in production using MLOps practices, ensuring scalability and performance · Drive experimentation with cutting-edge Gen AI techniques (e.g., text generation, summarization, image synthesis) · Conduct data exploration, feature engineering and statistical modeling to support various business needs · Mentor junior team members and guide them in model development and evaluation best practices · Stay up to date with the latest research and industry trends in AI, ML and Gen AI · Document methodologies, models and workflows for knowledge sharing and reuse Mandatory skill sets: · 4+ years of experience in AI/ML and data science, with proven experience in Generative AI · Hands-on expertise with Python and relevant ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn) · Strong understanding of LLMs (e.g., GPT, BERT, T5), transformers and prompt engineering · Experience with NLP techniques such as text classification, summarization, entity recognition and conversational AI · Ability to build and evaluate supervised and unsupervised learning models · Proficient in data wrangling, exploratory data analysis and statistical techniques · Familiarity with model deployment tools and platforms (Docker, FastAPI, MLflow, AWS/GCP/Azure ML services) · Excellent problem-solving, analytical thinking and communication skills Preferred skill sets: · Experience fine-tuning open-source LLMs using domain-specific data · Exposure to reinforcement learning (RLHF), diffusion models or multimodal AI · Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures · Experience with ML pipelines and automation (CI/CD for ML, Kubeflow, Airflow) · Background in conversational AI, chatbots or virtual assistants · Knowledge of data privacy, ethical AI and explainable AI principles · Publications, Kaggle participation or open-source contributions in the AI/ML space Years of experience required: · 4+ years Education qualification: · Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AI Programming Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Administration, Business Analysis, Business Case Development, Business Data Analytics, Business Process Analysis, Business Process Modeling, Business Process Re-Engineering (BPR), Business Requirements Analysis, Business Systems, Communication, Competitive Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Feasibility Studies, Functional Specification, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Learning Agility {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Country/Region: IN Requisition ID: 27332 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Sr Technical Lead-App Development Description: Long Description Required Skills : 1 Python Programming: Deep expertise in Python for building GenAI applications and automation tools. 2 Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc. 3 LLM and Agentic Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. 4 Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. 5 Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. 6 Fine-tune SLM(Small Language Model) for domain specific data and use cases. 7 Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. 8 Anti-hallucination and anti-gibberish tools such as Bleu etc. 9 Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development. 10 Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI and Agentic AI applications. 11 Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. 12 LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. 13 Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. 14 RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures. 15 Data Modernization: Expertise in modernizing and transforming data for GenAI applications. 16 OCR and Document Intelligence: Proficiency in OCR and document intelligence using cloud-based tools. 17 API Integration: Experience with REST, SOAP, and other protocols for API integration. 18 Data Curation: Expertise in building automated data curation and preprocessing pipelines. 19 Technical Documentation: Ability to create clear and comprehensive technical documentation. 20 Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams. 21 Mentorship: Proven ability to mentor junior developers and foster a culture of technical excellence. Area(s) of responsibility About Birlasoft: Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. About the Job - The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions Job Title - GenAI Technical Lead Location: Pune/Hyderabad Educational Background: Bachelor’s degree in computer science, Information Technology, or related field. Mode of Work- Hybrid Experience Required - 6+ years relevant Job Description : Key Responsibilities: 1 Application Development: Build GenAI applications from scratch using frameworks like Langchain, LangGraph and LlamaIndex. 2 Agentic AI framework: Practical knowledge of Multi agentic AI frameworks like Langgraph, Autogen and Crew AI 3 Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. 4 Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. 5 Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. 6 Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. 7 OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. 8 API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. 9 Cloud Platform Expertise: Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services. Knowledge of AWS for deploying and managing GenAI applications is an added advantage. 10 Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. 11 LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. 12 Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. 13 RAG and Modular RAG: Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. 14 Data Curation Automation: Build tools and pipelines for automated data curation and preprocessing. 15 Technical Documentation: Create detailed technical documentation for developed applications and processes. 16 Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions. 17 Mentorship: Guide and mentor junior developers, fostering a culture of technical excellence and innovation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Salesforce Health Cloud IS Architect What you will do Let’s do this. Let’s change the world. In this vital role you will responsible for developing and maintaining the overall IT architecture of the organization. This role involves defining the architecture vision, creating roadmaps, and ensuring that IT strategies align with business goals. You will be working closely with collaborators to understand requirements, develop architectural blueprints, and ensure that solutions are scalable, secure, and aligned with enterprise standards. Architects will be involved in defining the enterprise architecture strategy, guiding technology decisions, and ensuring that all IT projects adhere to established architectural principles. Roles & Responsibilities: Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the enterprise/domain/solution architecture Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency Work with collaborators to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Develop and maintain logical, physical, and conceptual data models to support business needs Establish and enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Contribute to a program vision while advising and articulating program/project strategies on enabling technologies Provide guidance on application and integration development best practices, Enterprise Architecture standards, functional and technical solution architecture & design, environment management, testing, and Platform education Drive the creation of application and technical design standards which leverage best practices and effectively integrate Salesforce into Amgen’s infrastructure Troubleshoot key product team implementation issues and demonstrate ability to drive to successful resolution. Lead the evaluation of business and technical requirements from a senior level Review releases and roadmaps from Salesforce and evaluate the impacts to current applications, orgs, and solutions. Identification and pro-active management of risk areas and commitment to seeing an issue through to complete resolution Negotiate solutions to complex problems with both the product teams and third-party service providers Build relationships and work with product teams; contribute to broader goals and growth beyond the scope of a single or your current project What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree / Master's degree / Bachelor's degree and 12 to 17 years of experience. Experience with SFDC Service Cloud/ Health Cloud in a call center environment Strong architectural design and modeling skills Extensive knowledge of enterprise architecture frameworks and methodologies Experience with system integration, IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology, including Product Teams and Product Development models Extensive hands-on technical and solution implementation experience with the Salesforce Lightning Platform, Sales Cloud and Service Cloud, demonstrating positions of increasing responsibility and management/mentoring of more junior technical resources Demonstrable experience and ability to develop custom configured, Visualforce and Lightning applications on the platform. Demonstrable knowledge of the capabilities and features of Service Cloud and Sales Cloud. Demonstrable ability to analyze, design, and optimize business processes via technology and integration, including leadership in guiding customers and colleagues in rationalizing and deploying emerging technology for business use cases A thorough understanding of web services, data modeling, and enterprise application integration concepts, including experience with enterprise integration tools (ESBs and/or ETL tools), and common integration design patterns with enterprise systems (e.g. CMS, ERP, HRIS, DWH/DM) Demonstrably excellent, context-specific and adaptive communication and presentation skills across a variety of audiences and situations; established habit of proactive thinking and behavior and the desire and ability to self-start/learn and apply new technologies Preferred Qualifications: Strong solution design and problem-solving skills Solid understanding of technology, function, or platform Experience in developing differentiated and deliverable solutions Ability to analyze client requirements and translate them into solutions Professional Certifications Salesforce Admin Advanced Admin Platform Builder Salesforce Application Architect (Mandatory) Soft Skills: Excellent critical-thinking and problem-solving skills Good communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: As an Advanced Analytics and Generative AI Developer, you will harness the power of large language models (LLMs), machine learning, natural language processing (NLP), and statistics to design, develop, and deploy advanced AI solutions. You will have a crucial role in optimizing generative AI models to improve business processes across various fields, working collaboratively with cross-functional teams to integrate these models into scalable, secure cloud-based applications. Responsibilities: -Design and develop advanced generative AI applications, including agent-based chatbots, RAG applications, natural language processing systems, automated content creation tools, and text-to-image transformation technologies etc. -Optimizing generative AI applications, including model fine-tuning, data management, and infrastructure enhancements to improve efficiency and performance. -Deploy AI applications on cloud platforms, with a preference for Azure or AWS, ensuring robustness and security. -Conduct advanced prompt engineering and model fine-tuning to tailor AI models to specific business applications. -Collaborate closely with cross-functional teams to embed AI models into existing business frameworks effectively. -Stay informed on the latest advancements in generative AI, machine learning, NLP, and analytics technologies. Mandatory skill sets: -Comprehensive knowledge of machine learning, NLP, and statistical methodologies. -Proficiency in Python, with a robust background in API integration, data processing, and managing AI model outputs. -Familiarity with AI frameworks such as LangChain, LangGraph, Hugging Face Transformers, or similar tools. -Excellent teamwork and communication skills to facilitate effective collaboration. Preferred skill sets: -Experience with vector databases like FAISS or Pinecone for semantic search and retrieval-augmented generation. -Awareness of ethical AI practices, including bias mitigation and model fairness. -Experience in developing cloud-native solutions and leveraging big data technologies. Years of experience required: 5-8 years of experience in AI model development, with a strong emphasis on generative AI. Education qualification: B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Master of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. FactSet is currently seeking a subject matter expert to implement an Enterprise-wide Secrets Management solution . The ideal candidate will be able to work with different groups to design , implement and support the Secrets Management solution s ( HashCorp Vault, AWS Secrets Manager) across the enterprise and work with security and compliance teams to instill best practices in this realm. Job Responsibilities: Work with the Security Governance, Risk & Compliance team to translate compliance requirements into project plans and automation that can deliver a seamless Secrets Management solution for the firm. Work with development teams to integrate Secrets Management solution into their applications . Where policies do not exist, define access policies and procedures in consultation with the Governance, Risk & Compliance team . Participate in design sessions for HashiCorp Vault in multiple datacenters and private cloud and provide knowledge of architecture and configurations. Responsible for complex program design, testing, debugging and documentation. Provide escalated administrative support for systems as needed Assist in building and maintaining secure integrations with HashiCorp Vault for automated secrets retrieval between applications. Maintain and monitor the health of the Secrets Manger solution and it’s components. Partner with and ultimately manage the relationship with key technical vendors to deliver capabilities and services Job Requirements 5+ years of relevant Security Engineering, Systems Engineering or Software Engineering experience 5+ years of experience administering a Secrets Management solution ( HashiCorp Vault, Conjur , A WS Secrets Manager or Azure Key Vault) 3+ years of experience with scripting to help automate processes (example python, bash, terraform) 2+ Years cloud services implementation in AWS Experience in API development Experience with Windows/*NIX platforms in large heterogeneous environment. Excellent understanding of authentication, authorization, role-based access, least privilege and segregation of duties access control concepts. Proven experience leading troubleshooting and solving issues related to identities, access, accounts, authentication, authorization, entitlements, and permissions. Ability to perform duties with minimal supervision Bachelor’s degree in Computer Science/Engineering or related field Experience with PAM, IGA or PKI (Required) Relevant industry training and/or certification (Required) Proven track record of successful technical project implementations and support of those applications. (Required) Thorough, detail-oriented and quality-driven with excellent communication and inter-personal skills (Required) Diversity: At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Return to Work: Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your care Company Overview: FactSet ( NYSE:FDS | NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products. 1 year of experience with software design and architecture. Preferred qualifications: 5 years of experience with data structures/algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Build large-scale data processing pipelines with appropriate quality/reliability checks. Debug large-scale data pipelines. Build proper monitoring for both the health of data pipelines and quality of data. Treat access/privacy/compliance as first class operators for the data pipelines. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Project description Information and Document Systems is a global technology change and delivery organization comprising nearly 150 individuals located in Switzerland, Poland, Singapore, United Kingdom and United States. We provide archiving and retrieval solutions to all business divisions focusing on supporting Legal, Regulatory and Operational functions. It has a complex architecture based on C-Mod, Unix, Oracle, Opentext and SAM-FS. Responsibilities Development and Improving application infrastructure, interacting with developers and production support, configuring and improving existing infrastructure, simplifying release process, investigations, research, activities related to programming and coding, taking part in planning and risk assessment, active participation in distributed agile process. Skills Must have 5+ years of working experience strong Unix Experience Extensive production support, maintenance experience Advanced scripting (Perl, PowerShell, Shell) Scripting experience Java Excellent communication, coordination and troubleshooting skills Good to have mainframe basic knowledge Good to have CMOD/IBM Content Manager OnDemand Server and Client Nice to have Agile experience Other Languages English: B2 Upper Intermediate Seniority Senior Hyderabad, IN, India Req. VR-105767 System Administration BCM Industry 09/07/2025 Req. VR-105767

DESCRIPTION Do you want to join an innovative team of engineers and analysts who use machine learning and analytical techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers, Vendors, and Customers? Are you excited by the prospect of analyzing large amounts of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence and Analytics team for Support Operations. As a business intelligence engineer, there are lots of opportunities for you to make an impact. Your talent is wanted to make data accessible to modeling - our models cannot go very far without good data. You will design and implement streamlined data pipelines that can scale for volume, velocity, variety, and veracity. Your talent is wanted to make model results measured. You will build metrics and procedures to quantify their goodness and badness (much easier said than done). Your talent is wanted to democratize analytics. You will design and build dash- and visualization functionalities that will help our team members and business customers to explore complex multi-dimensional data produced by production systems as well as our models. You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. You will also have the opportunity to display your skills in the following areas: Performing analysis and validation using mathematical optimization models for network design tasks Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Partnering closely with other team members to solve analytical problems and working with customers to answer key business questions. Communicating with senior management as well as with colleagues from different backgrounds Key job responsibilities Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. Build and design data pipelines and orchestrations design that can scale for volume, velocity, variety, and veracity. Develop metrics that helps support product category growth and expansion plans About the team The Support Operations team provides world-class support to the North America supply chain with initiatives that require complex investigation. With a mix of operational and program expertise, Support Ops works with various stakeholders to investigate and resolve supply chain issues, while minimizing the overall business risk and maintaining the high Amazon quality bar. Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. BASIC QUALIFICATIONS 10+ years of professional or military experience 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Business Intelligence

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 1 year of experience with core GenAI concepts (e.g., Large Language Model (LLM), Multi-Modal, Large Vision Models). Experience with text, image, video, or audio generation. Experience with machine learning algorithms, analytics, tensorflow. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 2 years of experience with data structures or algorithms. Experience solving large-scale problems with machine learning in product development environments. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will detect and prevent fraud across Google's paid services by building secure Consumer Payments (Google Pay) systems that enable growth, making payments effortless for legitimate users while blocking fraudsters. Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses. Responsibilities Enhance documentation and educational content by incorporating product updates and user feedback. Develop Generative AI solutions using ML infrastructure while optimizing data preparation and performance. Analyze payments system data to detect fraud patterns and abuse tactics. Build efficient fraud detection models using supervised/unsupervised techniques and graph mining. Deploy trained models and conduct post-launch performance analysis. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

DESCRIPTION As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will set the vision, strategy, and roadmap, and work alongside with stakeholders in the organization to make it happen. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results. Key job responsibilities Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. Work with team leadership to understand the customer needs and concerns as well as define solutions. Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs. Use analytical and statistical rigor to solve complex problems and drive business decisions. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Design and drive experiments, A/B testing, outlier deep dives and form actionable recommendations. Manage the implementation of those recommendations. Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Monitor and troubleshoot operational or data issues in the data pipelines Review and audit existing ETL jobs and SQL queries. BASIC QUALIFICATIONS 5+ years of business analyst, data analyst or similar role experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL Experience making business recommendations and influencing stakeholders Experience with data visualization using Tableau, Quicksight, or similar tools PREFERRED QUALIFICATIONS Advanced degree in data science, statistics, or a related field. 5+ years in the analysis space as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles. Experience using Python, Ruby, or other scripting languages to automate data retrieval, manipulation, and analysis. Experience using R, SAS, or other statistical packages. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Selling Partner Support Customer Service

DESCRIPTION We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world BASIC QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Bachelors or PhD or Master's degree in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. Strong programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. Excellent communication and collaboration skills to effectively work with cross-functional teams. PREFERRED QUALIFICATIONS Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TS, Hyderabad Data Science

The CCTV Auditing Trainee will be responsible for observing store activities through live CCTV footage to maintain a safe, efficient, and customer-centric environment. The role focuses on ensuring customer delight by monitoring adherence to service standards, identifying areas for improvement, and maintaining the store’s operational integrity. Key Responsibilities: Monitor interactions between staff and customers to ensure high service standards are maintained. Identify and report any incidents that may negatively impact the customer experience. Observe store activities to ensure adherence to safety protocols and company policies. Report any irregularities, such as theft, overcrowding, or operational inefficiencies, in real-time. Ensure staff compliance with operational and service standards. Provide actionable feedback on areas for improvement to enhance customer satisfaction. Maintain a detailed log of observed incidents and report them to the relevant department. Assist in the retrieval of footage for specific investigations when required. Requirements: Any Degree Basic understanding of customer service principles. Familiarity with CCTV operations (preferred but not mandatory, training will be provided). Strong observational skills and attention to detail. Ability to remain focused for extended periods. Effective communication and reporting skills. Commitment to ensuring customer delight through proactive monitoring. Female candidates preferred Location: Calicut Job Types: Full-time, Fresher Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Work Location: In person

Job Description The role The Global Business Support (GBS) function provides high-quality support to Clifford Chance offices worldwide through its various teams, including Document Production, Design Studio, Junior Executive Assistants, Virtual Assistants, and World Firm EAs. As an Executive Assistant (EA), you will provide dedicated support to allocated GBS stakeholders, assisting with a range of executive and administrative tasks. The role requires flexibility, with key working hours spanning early mornings and afternoons. Adjustments to working hours may be expected upon reasonable request. Who you will work with You will report to the Senior Manager, VA Team, while working collaboratively with colleagues across London, Delhi, Hyderabad, Newcastle, and Warsaw, ensuring a seamless delivery of service across locations. What you will be responsible for You will be responsible for providing comprehensive executive assistance to your assigned stakeholders What you will do As an EA, you will provide executive assistance and support to the allocated Stakeholders, including, and not limited to: Inbox Management: Prioritise and streamline email correspondences, keeping the inbox organised and junk-free. File emails systematically to prevent overflow and ensure easy retrieval. Respond on behalf of the stakeholder when required. Calendar & Meeting Management: Proactively plan and manage dynamic calendars, resolving scheduling conflicts efficiently. Arrange meeting logistics, including agendas, pre-reads, and coordination. Attend meetings, take minutes, and circulate action points in a timely manner. Travel Management: Organise comprehensive travel itineraries, including flights, rail, taxis, hotels, visas, and travel insurance. Ensure calendars are updated with logistical details and maintain structured travel records. Expense & Budget Management: Accurately and promptly submit claims (expenses, mileage, etc.) with quick turnaround times. Assist with invoice processing, purchase orders, and budget tracking as required and delegate to Administrative Assistants appropriately. Documentation & Data Management: Prepare and maintain accurate documentation, including reports, presentations, and correspondences. Manage document control via iManage and other relevant platforms, ensuring efficient record-keeping. Project Coordination: Support stakeholders by researching, compiling, and analysing project data. Draft and review status reports, escalate risks and issues, and monitor project milestones. Make informed decisions independently to meet critical deadlines. Confidentiality & Integrity: Maintain the highest level of discretion and professionalism. Adhere to policies, procedures, and regulatory requirements while fostering trust and reliability in stakeholder interactions. Collaboration & Team Engagement: Work closely with stakeholders, ensuring seamless communication. Actively contribute to the VA Team in all offices, assist in onboarding new team members, and provide absence cover when needed. Ad-Hoc Support: Assist with various ad-hoc tasks, including onboarding new hires, managing distribution lists, organising off-sites and team gatherings, and supporting stakeholder upskilling initiatives Qualifications Your experience Qualifications & Experience Bachelor’s degree required; Master’s/MBA from a reputed institute preferred. 8+ years of experience, preferably in a multinational organisation with cross-cultural exposure. Proven experience supervising teams in a professional services environment, with a strong focus on service delivery and performance management. Prior experience supporting senior leadership, including minute-taking, presentation creation, and managing Excel-based reports. Project or programme management experience is desirable; coaching will be provided if needed. Stakeholder Management Strong stakeholder management skills, with the ability to influence and challenge at all levels. Comfortable working across international, regional, and local contexts. Structured and strategic approach to balancing long-, medium-, and short-term team priorities. Strong organisational and delegation skills. Communication & Collaboration Flexible and effective communicator—both verbal and written. Maintains regular and transparent communication with managers and colleagues. Approachable, helpful, and adaptable in a dynamic team environment. Analytical & Problem Solving Strong analytical skills, with the ability to gather, interpret, and present data insights. Excellent problem-solving ability; capable of breaking down complex issues and identifying solutions. Makes sound decisions based on available information or guidance. Proactively identifies opportunities to improve service quality based on stakeholder feedback. Work Ethic & Professionalism Demonstrates resilience and the ability to manage competing deadlines under pressure. Quick learner with a proactive, results-driven mindset. Able to manage workload independently and as part of a team. Exceptional attention to detail in all tasks and deliverables. Confident handling new and unfamiliar situations. How we will support you From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. Company Description Who we are We are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm’s global standards with in-depth local expertise. Our firm, work and people span jurisdictions, cultures, and languages. We offer our clients a truly international perspective. We believe every career should be rewarding and stimulating - full of opportunities to learn, thrive, and grow. That’s why we’re so proud of our inclusive, friendly, and team-based approach to work. You’ll find our clients in commercial and industrial sectors, the financial investor community, governments, regulators, trade bodies, and not-for-profit organisations. But no matter who they are or why they’ve reached out to us, we provide a world-class service every step of the way. And that’s possible thanks to the entrepreneurial spirit and conscientious approach to work that you’ll find across all of our teams. Whichever area of the business you join, you’ll become an integral part an innovative, diverse and ambitious team of people. Clifford Chance is a place where the brightest minds and the best of colleagues meet. Additional Information Equal opportunities At Clifford Chance, we understand that our true asset is our people. Inclusion is good for our team and their families, our firm and society. We are committed to treating all employees and applicants fairly and equally regardless of their gender, gender identity and expression, marital or civil partnership status, race, colour, national or ethnic origin, social or economic background, disability, religious belief, sexual orientation, or age. This applies to recruitment and selection, terms and conditions of employment including pay, promotion, training, transfer and every other aspect of employment. We have a variety of flourishing employee networks. These networks are a place for colleagues to share experiences and advocate for change wherever they see an opportunity for improvement. Our goal is to deliver an equality of opportunity, an equality of aspiration and an equality of experience to everyone who works in our firm. Find out more about our inclusive culture here

Acuity Knowledge Partners (Acuity) is a leading provider of bespoke research, analytics and technology solutions to the financial services sector, including asset managers, corporate and investment banks, private equity and venture capital firms, hedge funds and consulting firms. Its global network of over 6,000 analysts and industry experts, combined with proprietary technology, supports more than 600 financial institutions and consulting companies to operate more efficiently and unlock their human capital, driving revenue higher and transforming operations. Acuity is headquartered in London and operates from 10 locations worldwide. The company fosters a diverse, equitable and inclusive work environment, nurturing talent, regardless of race, gender, ethnicity or sexual orientation. Acuity was established as a separate business from Moody’s Corporation in 2019, following its acquisition by Equistone Partners Europe (Equistone). In January 2023, funds advised by global private equity firm Permira acquired a majority stake in the business from Equistone, which remains invested as a minority shareholder. For more information, visit www.acuitykp.com Position Title- Associate Director (Senior Architect – Data) Department-IT Location- Gurgaon/ Bangalore Job Summary The Enterprise Data Architect will enhance the company's strategic use of data by designing, developing, and implementing data models for enterprise applications and systems at conceptual, logical, business area, and application layers. This role advocates data modeling methodologies and best practices. We seek a skilled Data Architect with deep knowledge of data architecture principles, extensive data modeling experience, and the ability to create scalable data solutions. Responsibilities include developing and maintaining enterprise data architecture, ensuring data integrity, interoperability, security, and availability, with a focus on ongoing digital transformation projects. Key Responsibilities 1. Strategy & Planning o Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. o Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. o Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. o Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architectures are aligned with regulatory compliance. o Develop a comprehensive data strategy in collaboration with different stakeholders that aligns with the transformational projects’ goals. o Ensure effective data management throughout the project lifecycle. 2. Acquisition & Deployment o Ensure the success of enterprise-level application rollouts (e.g. ERP, CRM, HCM, FP&A, etc.) Liaise with vendors and service providers to select the products or services that best meet company goals 3. Operational Management o Assess and determine governance, stewardship, and frameworks for managing data across the organization. o Develop and promote data management methodologies and standards. o Document information products from business processes and create data entities o Create entity relationship diagrams to show the digital thread across the value streams and enterprise o Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise o Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data o Address the regulatory compliance requirements of each country and ensure our data is secure and compliant o Select and implement the appropriate tools, software, applications, and systems to support data technology goals. o Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. o Collaborate with project managers and business unit leaders for all projects involving enterprise data. o Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. o Act as a leader and advocate of data management, including coaching, training, and career development to staff. o Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. o Document the data architecture and environment to maintain a current and accurate view of the larger data picture. o Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: o Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. o Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: o Establish and enforce data governance policies and procedures as agreed with stakeholders. o Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: o Oversee the data migration process from legacy systems to the new systems being put in place. o Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: o Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. o Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: o Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. o Ensure the enterprise system meets the organization's data needs. 9. Training and Support: o Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. o Promote user adoption and proper use of data. 10 Data Quality Assurance: o Implement data quality assurance measures to identify and correct data issues. o Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: o Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems o Enable data-driven decision-making through robust data analysis. 1. Continuous Improvement: o Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. o Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) o SQL: Strong SQL skills for querying and managing databases. Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Key Competencies Qualifications: Education: o Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements