7846 Artificial Intelligence Jobs - Page 16

About The Role : Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How well support you

About The Role : Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleRegulatory Control Lead, VP LocationBangalore, India Role Description We are seeking a highly experienced and strategic leader to join our FCR&C division as Vice President Financial Crime Risk and Control - Technology Risk Strategy & Controls . This role is critical in shaping the risk and control landscape across our technology platforms, with a strong emphasis on Python-based automation , audit readiness , and strategic risk governance . The ideal candidate will bring a blend of technical acumen , regulatory insight , and banking domain expertise to drive innovation and resilience in a complex, fast-paced environment. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Strategic Risk Leadership Define and lead the technology risk strategy for Financial Crime Risk and Compliance (FCR&C) division, aligning with enterprise risk appetite and regulatory expectations. Advise senior Leadership on emerging technology risks, regulatory developments (e.g., Basel III, EMIR, GwG, ECB), and control enhancements. Drive strategic initiatives to embed risk intelligence into digital transformation and innovation programs. Technology Enablement & Automation Lead the development of Python-based tools and analytics to automate risk assessments, control testing, and audit support. Oversee the integration of advanced analytics and AI/ML into risk monitoring and reporting frameworks. Collaborate with engineering and data teams to ensure secure, scalable, and compliant technology solutions. Audit, Controls & Regulatory Compliance Own the design and execution of IT control frameworks across trading platforms, payment systems, and client onboarding technologies. Partner with internal audit, DCO and compliance to ensure readiness for regulatory reviews and external audits. Monitor and assess control effectiveness across front-to-back banking processes, including trade lifecycle, credit risk, and operational risk. Review internal processes to confirm all financial crime risks have been appropriately identified and documented. Confirm relevant controls or risk mitigants are in place to manage all financial crime risks within internal processes. Perform design and/or operating effectiveness testing on controls and mitigants. Conduct annual assessment of controls within FCR&C to demonstrate they are operating effectively. Identify, analyse and review operational readiness for any change-related activities. Define the requirements e.g. for the standardisation of processes/policies, translating the required changes for an operational environment and overview effective implementation. Assess risks that are responsible for the mitigating and protecting the Banks reputation. Stakeholder Engagement & Governance Present testing results, risk insights, control metrics, and strategic recommendations to Leadership team Build strong partnerships with front office, operations, DCO, compliance, and technology teams to foster a risk-aware culture. Lead governance forums and working groups focused on technology risk and control transformation. Your skills and experience Qualifications: Bachelors or Masters degree in Computer Science, Information Systems, Finance, or a related field. 14+ years of experience in technology risk, audit, or compliance within investment or corporate banking. Strong proficiency in Python and experience leading automation or analytics initiatives in a regulated environment. Deep understanding of banking products, trading systems, and regulatory frameworks (e.g., SOX, Basel, MiFID II, DORA). Proven leadership in cross-functional teams and executive-level stakeholder management. Experience with testing the design and operating effectiveness of controls and remediating any identified control gaps. Analytical skills and attention to detail, with the ability to think laterally around issues, proposing solutions where required. Effective communication, organisation, prioritisation and interpersonal skills Ability to work to high standards and under strong time constraints. Preferred Certifications: Python/Data Science certifications MBA or executive leadership training (preferred) CISA, CRISC, or equivalent (desirable) How well support you

Job Summary: We are seeking a highly experienced Data Scientist with a strong foundation in ML/DL, experience in Computer Vision, with affinity towards upcoming technologies like Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate will lead and deploy cutting-edge AI solutions, bridging the gap between intelligent models and scalable backend architectures. Key Responsibilities: Design, develop, and deploy advanced Machine Learning and Deep Learning models for business-critical use cases. Build and optimize Computer Vision pipelines using models like YOLO, EfficientNet, or Transformer-based vision architectures. Integrate AI models into scalable backend services using Django, Flask, or FastAPI. Build robust RESTful APIs and manage data pipelines for AI workflows. Collaborate closely with frontend/backend engineers to bring AI features to production. Required Qualifications: Bachelor s/Master s degree in Computer Science, Artificial Intelligence, Data Science, or related fields. 8+ years of experience in building and deploying ML/DL models (time series, NLP, etc.). Proven expertise in Computer Vision (e.g., segmentation, detection, video analysis). Proficiency in Python, with frameworks like PyTorch, TensorFlow, OpenCV, and Hugging Face. Solid experience in backend frameworks: Django, Flask, or FastAPI, and building APIs for AI model inference. Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure). Exposure to MLOps tools and concepts (e.g., MLflow, Weights & Biases, CI/CD pipelines). Preferred Skills: Knowledge of LLMs (e.g., GPT, LLaMA, Mistral), agentic AI frameworks such as LangChain, AutoGPT is a plus.

About The Role Job Title - + + S&C Global Network) Management Level:Analyst Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:IT Strategy, Optional Skills: Operating Model Design, Enterprise Architecture, Smart City Solutions, IoT & Sensor Networks, Sustainability & Green Initiatives, Data Analytics & AI, Transportation & Energy Management, Public Sector Consulting, Stakeholder Engagement, Project Management, Smart Infrastructure Deployment, Government & Public Sector Expertise, SAP MM, SAP PS, SAP SD. Experience:Minimum 3 year(s) of experience is required Educational Qualification:Engineering & MBA Preferred Job Summary Looking for a driving style Analyst with exceptional skills in communication to produce quality deliverables for the client. As the Consultant in Smart connected products, you will work closely with the Manager/Sr. Manager to define and develop various Assets and Offerings in NPD, R&D, Portfolio and Smart Connected product area. Roles and responsibilities Lead cross-functional collaboration between city planners, public agencies, and technology partners to ensure successful integration of smart city solutions and alignment with urban development goals.Drive project implementation by overseeing the design, development, and deployment of smart city components, ensuring scalability, sustainability, and operational efficiency.Apply a data-driven approach to monitor project performance, leveraging real-time analytics and sensor data to inform decisions and optimize smart city services.Engage with key stakeholders, ensuring clear communication of strategic priorities and gaining support for smart city initiatives.Facilitate public-private partnerships to enable collaboration between government bodies, technology vendors, and infrastructure providers, fostering innovative and sustainable urban solutions.Champion sustainability efforts, ensuring that smart city projects incorporate eco-friendly technologies and adhere to regulatory standards for energy efficiency and environmental impactQualification Professional and Technical Skills Proven experience in developing and executing IT Strategy for Smart Cities projects, aligning technology initiatives with urban development goals and public services.Strong expertise in Operating Model Design, including the creation of scalable, sustainable, and resilient operational frameworks for Connected and Smart Spaces.Demonstrated proficiency in Enterprise Design, focusing on building integrated digital architectures that enable seamless communication across smart city infrastructure, government agencies, and public services.Hands-on experience in implementing Smart City solutions for Government and Public Sector clients, with a focus on transportation, energy management, public safety, and environmental monitoring.Deep understanding of IoT-enabled smart systems, including sensor networks, data collection, and real-time analytics to improve urban planning and service delivery.Experience working with public-private partnerships to foster collaboration between governments, technology vendors, and city planners in the deployment of smart infrastructure.Familiarity with regulatory frameworks and compliance requirements in the public sector for Smart City implementations, ensuring alignment with legal and security standards.Knowledge of sustainability and green initiatives, ensuring that Smart City projects incorporate eco-friendly technologies and energy-efficient solutions. Additional Information Exceptionally organized and detail orientedGood judgement in how to engage with senior stakeholders regarding approvals/ follow upsStrong communication skillsProactive and able to work independentlySensitivity and skill at working with different cultures and stylesA highly motivated self-starter

About The Role Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more. An expert in SQL, Tableau, preferred to have Python based data analytics experience Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics:5+ years Data and ML analytics:3+ years Reporting analytics, e.g. tableau:5 + years Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Qualification Any Graduation

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Insights & Visualization Practitioner, your typical day involves creating interactive interfaces that facilitate the understanding and communication of complex data and insights. You will engage in data wrangling, analysis, and preparation to ensure the delivery of relevant, consistent, timely, and actionable insights. Your role will also include leveraging modern business intelligence and storytelling techniques, along with web-based visualization tools, to develop interactive dashboards and reports. Additionally, you will utilize and customize generative artificial intelligence and AI-powered visualization capabilities to foster a dialog with data, enhancing the overall data experience for users. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team members' understanding of data visualization tools and techniques.- Develop and maintain documentation for processes and best practices related to data insights and visualization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics.- Good To Have Skills: Experience with data visualization tools such as Tableau or Power BI.- Strong understanding of data wrangling techniques to prepare data for analysis.- Experience in creating interactive dashboards and reports that effectively communicate insights.- Familiarity with generative artificial intelligence and its application in data visualization. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Delivery - Fraud Data & Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Fraud Data Analyst is responsible for designing unique analytic approaches to detect, assess, and mitigate identity and fraud risk. Analyze the effectiveness of our day-to-day fraud policy and rules in our fraud systems. Analyze large amounts of applications, account, and transaction data to build actionable insights to derive the methods to identify fraud risk, reduce friction and enhance experience on money movement.Data governance & management, data science, analytics (Artificial Intelligence, Machine Learning, Natural Language Processing/Generation, Network Analysis, etc.) and technology to predict, identify, detect, measure, and prevent internal and external fraud, bribery and corruption for an organization. What are we looking for Strong knowledge of financial products and processes, including Account Application, ACH, RDC, debit cards, credit cards, P2P, lending products, and deposit accounts Knowledge of CIP and fraud related verification and authentication processes including DOCV, eCBSV, MFA, KBA, and more. An expert in SQL, Tableau, preferred to have Python based data analytics experience Experience with working with fraud solutions vendors and their data directly, such as Socure, Sentilink, iOvation, LexisNexus, Falcon, Visa, Zelle, and more Fraud analytics:5+ years Data and ML analytics:3+ years Reporting analytics, e.g. tableau:5 + years Roles and Responsibilities: Develop new data driven rules with data attributes and ML scores that optimize decisioning performance between member experience and fraud prevention Develop data insights to help understand customers banking behavior and preferences Develop personalized segmentations and micro-segmentation to identify customers based on their fraud risk, banking behavioral, and value Work with external fraud prevention vendors to optimize their performance and assist in maintaining, design and implementation of existing and new fraud detection tools Aggregate and analyze internal and external risk datasets to understand performance of fraud decisioning and granular performance of multiple decision methods Find insights from risk data sets to improve fraud strategies and rules Participate in regular root-cause analysis to form the correct hypothesis in preparing for fraud detection framework Able to lead fraud/risk investigations for both simple and complex cases to successful conclusions and mark false positives and false negative cases Qualification Any Graduation

About The Role Job Summary : Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsHave you led large Business transformation programs for global clientsDoes working in an inclusive and collaborative environment spark your interest Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of our Operations and Process Transformation Center of Excellence, you will help organizations reimagine and transform their processes for tomorrowwith a positive impact on the business, society and the planet. While we are housed within Supply Chain and Operations from a reporting point of view, we are function agnostic and work across enterprise-wide processes including Finance and Accounting, Human Resources. Together, lets innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. We are seeking a highly skilled and experienced leaders to drive our Business Transformation programs. The ideal candidate will have a strong background in management consulting, with a proven track record of successfully leading and delivering large-scale transformation projects. This role requires excellent leadership, strategic thinking, client stakeholder management and communication skills to drive change and achieve business objectives. Roles & Responsibilities: Lead and manage business transformation programs, ensuring alignment with organizational goals and objectives. Work closely with clients to understand their key priorities, shape the transformation roadmap and lead the Innovation agenda for clients Design and deliver transformation roadmap and business case, aligning with client goals and objectives Deploy Accentures standard methods, tools and assets to drive standardization during the implementation. Develop and implement strategies to drive business process improvements, enhance operational efficiency, and achieve cost savings. Conceptualization and implementation of GenAI, AI, Analytics, automation products and solutions to drive innovation in client processes Collaborate with cross-functional teams, including Consulting, Operations and Client account teams to ensure successful project execution. Identify and mitigate risks associated with transformation initiatives. Provide leadership and guidance to project teams, fostering a culture of continuous improvement and innovation. Monitor and report on project progress, ensuring timely delivery and achievement of key milestones. Engage with senior stakeholders to communicate project status, challenges, and successes. Qualification Professional & Technical Skills: MBA or equivalent advanced degree preferred from Tier 1 or Tier 2 Business schools. Minimum of 15 years of experience in management consulting or an internal consulting team or a similar role with a focus on business transformation. Proven experience in leading large-scale transformation projects, preferably in a consulting environment. Strong analytical and problem-solving skills, with the ability to think strategically and drive change. Prior experience in enabling GenAI, AI and RPA technologies in client processes is highly preferred Experience in authoring business case for large Business transformation programs Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Demonstrated ability to manage multiple projects simultaneously and deliver results in a fast-paced environment. Proficiency in project management tools and methodologies. Ability to adopt and deploy new methods and approaches with focus on value.

About The Role Job Summary : Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsHave you led large Business transformation programs for global clientsDoes working in an inclusive and collaborative environment spark your interest Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of our Operations and Process Transformation Center of Excellence, you will help organizations reimagine and transform their processes for tomorrowwith a positive impact on the business, society and the planet. While we are housed within Supply Chain and Operations from a reporting point of view, we are function agnostic and work across enterprise-wide processes including Finance and Accounting, Human Resources. Together, lets innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. We are seeking a highly skilled and experienced leaders to drive our Business Transformation programs. The ideal candidate will have a strong background in management consulting, with a proven track record of successfully leading and delivering large-scale transformation projects. This role requires excellent leadership, strategic thinking, client stakeholder management and communication skills to drive change and achieve business objectives. Roles & Responsibilities: Lead and manage business transformation programs, ensuring alignment with organizational goals and objectives. Work closely with clients to understand their key priorities, shape the transformation roadmap and lead the Innovation agenda for clients Design and deliver transformation roadmap and business case, aligning with client goals and objectives Deploy Accentures standard methods, tools and assets to drive standardization during the implementation. Develop and implement strategies to drive business process improvements, enhance operational efficiency, and achieve cost savings. Conceptualization and implementation of GenAI, AI, Analytics, automation products and solutions to drive innovation in client processes Collaborate with cross-functional teams, including Consulting, Operations and Client account teams to ensure successful project execution. Identify and mitigate risks associated with transformation initiatives. Provide leadership and guidance to project teams, fostering a culture of continuous improvement and innovation. Monitor and report on project progress, ensuring timely delivery and achievement of key milestones. Engage with senior stakeholders to communicate project status, challenges, and successes. Qualification Professional & Technical Skills: MBA or equivalent advanced degree preferred from Tier 1 or Tier 2 Business schools. Minimum of 15 years of experience in management consulting or an internal consulting team or a similar role with a focus on business transformation. Proven experience in leading large-scale transformation projects, preferably in a consulting environment. Strong analytical and problem-solving skills, with the ability to think strategically and drive change. Prior experience in enabling GenAI, AI and RPA technologies in client processes is highly preferred Experience in authoring business case for large Business transformation programs Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Demonstrated ability to manage multiple projects simultaneously and deliver results in a fast-paced environment. Proficiency in project management tools and methodologies. Ability to adopt and deploy new methods and approaches with focus on value.

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education**Position Summary :** The Manager - Enterprise Data Analytics will lead the Enterprise Data Analytics team, ensuring the delivery of high-quality insights and reports. The role requires managing data strategy, guiding a team of analysts, and collaborating with stakeholders across the organization to drive data-driven decision-making. **Key Responsibilities:** - Develop and execute the data analytics strategy in alignment with organizational goals. Lead, mentor, and manage a team of data analysts, business analysts, and data scientists. Collaborate with cross-functional teams (Sales, Marketing, Finance, etc.) to understand data needs and deliver actionable insights. Oversee the creation and maintenance of dashboards, reports, and other data visualization tools. Ensure data accuracy, quality, and security in all analytics processes. Drive innovation in data analytics by adopting new tools, methodologies, and best practices. Manage timelines, budgets, and resources for analytics projects. Define and execute the strategic vision for the Enterprise Data Analytics team. Foster collaboration between cross-functional teams to align data strategies with business objectives. Oversee the design, implementation, and maintenance of enterprise-level data systems. Drive innovation by identifying and incorporating emerging data analytics technologies. Manage budgeting, resource allocation, and team development initiatives. ** Qualifications:** - Bachelor's degree in Data Science, Computer Science, or a related field; Master's degree preferred. 8+ years of experience in data analytics, with at least 3 years in a managerial role. Strong leadership and team management skills. Expertise in tools like Power BI, Tableau, SQL, Python, or R. Excellent communication and stakeholder management skills. Qualification 15 years full time education

About The Role Job Summary : Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsHave you led large Business transformation programs for global clientsDoes working in an inclusive and collaborative environment spark your interest Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of our Operations and Process Transformation Center of Excellence, you will help organizations reimagine and transform their processes for tomorrowwith a positive impact on the business, society and the planet. While we are housed within Supply Chain and Operations from a reporting point of view, we are function agnostic and work across enterprise-wide processes including Finance and Accounting, Human Resources. Together, lets innovate, build competitive advantage, and improve business, and societal outcomes, in an ever-changing, ever-challenging world. We are seeking a highly skilled and experienced leaders to drive our Business Transformation programs. The ideal candidate will have a strong background in management consulting, with a proven track record of successfully leading and delivering large-scale transformation projects. This role requires excellent leadership, strategic thinking, client stakeholder management and communication skills to drive change and achieve business objectives. Roles & Responsibilities: Lead and manage business transformation programs, ensuring alignment with organizational goals and objectives. Work closely with clients to understand their key priorities, shape the transformation roadmap and lead the Innovation agenda for clients Design and deliver transformation roadmap and business case, aligning with client goals and objectives Deploy Accentures standard methods, tools and assets to drive standardization during the implementation. Develop and implement strategies to drive business process improvements, enhance operational efficiency, and achieve cost savings. Conceptualization and implementation of GenAI, AI, Analytics, automation products and solutions to drive innovation in client processes Collaborate with cross-functional teams, including Consulting, Operations and Client account teams to ensure successful project execution. Identify and mitigate risks associated with transformation initiatives. Provide leadership and guidance to project teams, fostering a culture of continuous improvement and innovation. Monitor and report on project progress, ensuring timely delivery and achievement of key milestones. Engage with senior stakeholders to communicate project status, challenges, and successes. Qualification Professional & Technical Skills: MBA or equivalent advanced degree preferred from Tier 1 or Tier 2 Business schools. Minimum of 15 years of experience in management consulting or an internal consulting team or a similar role with a focus on business transformation. Proven experience in leading large-scale transformation projects, preferably in a consulting environment. Strong analytical and problem-solving skills, with the ability to think strategically and drive change. Prior experience in enabling GenAI, AI and RPA technologies in client processes is highly preferred Experience in authoring business case for large Business transformation programs Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Demonstrated ability to manage multiple projects simultaneously and deliver results in a fast-paced environment. Proficiency in project management tools and methodologies. Ability to adopt and deploy new methods and approaches with focus on value.

We are looking for a Senior Solution Architect with 10+ years of experience in software development and AI/ML, including 5+ years in Generative AI and Azure ML, with hands on experience in designing and deployment of scalable AI solutions, drive innovation, and collaborate across teams to integrate cutting-edge technologies into business processes. Responsibilities & Skills: Architect and implement AI solutions using Generative AI, ML, and Azure ML aligned with business goals. Lead development of Generative AI models (e.g., GPT, DALL•E, BERT) for NLP, computer vision, and automation. Expert in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn); strong understanding of learning techniques. Hands-on experience with Azure ML, Azure AI Services, Data Lake, Databricks, and MLOps via Azure DevOps. Collaborate with cross-functional teams and mentor junior engineers to foster innovation and best practices. Advise leadership on AI strategy, emerging technologies, and scalable architecture. Define data strategy for AI/ML, ensuring governance, security, and compliance. Stay ahead of AI trends and prototype new solutions for continuous improvement. Engage with stakeholders to translate business needs into technical solutions. Experience with AWS/GCP, hybrid cloud, CI/CD for ML, and certifications in Azure AI/Architect. Familiarity with NLP, computer vision, and reinforcement learning. Proven track record in AI/ML solution architecture and cloud-native deployments. Strong leadership, communication, and stakeholder management skills. Bachelors/Masters in Computer Science or related field; Ph.D. preferred.

This position involves performing feasibility and impact assessments, reviewing documentation to ensure conformity to methods, designs, and standards, and achieving economies of scale during the support phase As a senior Business Analyst you will also be responsible for stakeholder communication, conducting primary and secondary research based on solution and project needs, supporting new solution design and other organizational initiatives, and collaborating with all stakeholders in a multi-disciplinary team environment to build consensus on various data and analytics projects, Location: Nagpur/Pune/Chennai/Bangalore Key Result Areas and Activities: Stakeholder Collaboration: Collaborate with Retail business product owners and end users to understand data and analytics requirements, Requirement Analysis: Analyse and triage business requirements to determine scope and data sources, Documentation: Create business and functional requirement documents (FSD, BRD, etc ) detailing the metrics and KPIs needed by the business, Development Collaboration: Collaborate with development and engineering teams on the delivery of data products, Testing Coordination: Coordinate and manage testing cycles, including user acceptance testing, Essential Skills: Business Data Analyst with a D&A background Understanding of the Luxury Retail Domain Experience in the full lifecycle of Data and Analytics projects from discovery to deployment Experience working with multiple stakeholders for requirements gathering and business prioritization Ability to articulate and measure the business value of requirements Knowledge of AI/GenAI concepts Ability to convert business requirements into implementation ready Epics and user stories Ability to contribute to estimations and project plans across data engineering and analytics teams Understanding a data visualization tools like Power BI Ability to write SQLs for data analysis T ools : Power BI, Snowflake, SQL, JIRA, Microsoft office suite Desirable Skills: Understanding of AI solutions Create and manage Epics and User stories, including acceptance criteria in JIRA Hands on knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus Qualifications: Bachelor's degree in computer science, engineering, or related field (Master's degree is a plus) 6 years of experience as Business Analyst Demonstrated continued learning through one or more technical certifications or related methods Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset

Airbnb is seeking a seasoned Senior Engineering Manager to lead a high-impact engineering team focused on Trust & Safety In this role, you will drive the technical vision and execution for critical systems that safeguard the integrity of our platform, enhance user trust, and ensure the security of Airbnbs global community, The Difference You Will Make This is a pivotal leadership opportunity to build and scale the Trust & Safety engineering team in India from the ground up Youll serve as a founding member of the India Trust organization, co-lead the definition of the teams charter, and play a central role in shaping its long-term strategy, culture, and technical direction As the team grows, you will help establish it as a center of excellence for Trust & Safety within Airbnb globally Youll partner closely with product, data science, security, and other cross-functional teams to deliver innovative solutions that proactively protect our users and uphold the integrity of Airbnbs platform This is a highly visible role, ideal for a strategic technical leader with a passion for operational excellence and people leadership, A Typical Day Technical Leadership: Define and execute the technical strategy for trust and safety initiatives, ensuring alignment with Airbnbs long-term goals, Team Management: Hire, mentor, and lead a high-performing engineering team Foster a culture of innovation, ownership, and continuous improvement, Cross-Functional Collaboration: Work closely with product managers, data scientists, and partner engineering teams to develop effective, scalable solutions, Project Oversight: Lead end-to-end project execution, ensuring high-quality delivery across the software development lifecycle, Stakeholder Engagement: Provide clear communication of project status, risks, and opportunities to senior leadership and partners, Operational Excellence: Champion best practices for reliability, scalability, and incident response Maintain operational readiness for critical systems, Industry Awareness: Stay current on trends in Trust & Safety, and drive adoption of best practices and innovations within the team, Global Alignment: Work with global counterparts to ensure the India teams initiatives are aligned with broader Trust & Safety goals, Your Expertise Bachelors degree in Computer Science or a related field (or equivalent practical experience), 12+ years of industry experience, including 57+ years in engineering management, Proven track record of delivering large-scale, secure, and reliable systems, Strong experience in leading technical strategy and building scalable engineering, data, or machine learning systems, Expertise in leading AI/ML teams and delivering AI-powered solutions is a strong plus, Proficiency in at least one major language (e-g, Java, Python, Go, Ruby), Demonstrated ability to hire and retain top-tier engineering talent, Excellent communicatorcapable of bridging technical and non-technical audiences, Experience setting multi-year strategies and aligning diverse stakeholders, Background working in fast-paced, agile environments with cross-functional teams, Passion for trust, safety, and driving positive social impact, Strong commitment to fostering diversity, equity, and inclusion within teams,

Innovate with the Latest in AI: You'll be hands-on with DialogFlow and the power of Large Language Models (LLMs), crafting intelligent and intuitive conversational experiences for our enterprise clients This is your chance to work with the most advanced AI technologies and directly influence how businesses interact Deep Dive into Google Cloud: As a core part of your role, you'll leverage the full potential of Google Cloud Platform (GCP) You'll gain deep expertise in integrating DialogFlow with other GCP services, expanding your cloud skills and becoming a true GCP expert Shape Our Conversational AI Practice: Your expertise will help us define and refine our best practices for building and deploying enterprise-grade DialogFlow solutions You'll have a direct impact on how we approach conversational AI projects and contribute to our growing knowledge base What You'll Do: Architect and Build: Design, develop, and deploy sophisticated chatbots using DialogFlow, integrating them seamlessly with LLMs and other relevant GCP services Client Engagement: Work closely with enterprise clients to understand their business needs and translate them into effective conversational AI solutions GCP Integration: Leverage your knowledge of GCP to integrate DialogFlow with services such as Cloud Functions, Cloud Run, BigQuery, and more, creating robust and scalable solutions Innovation and Experimentation: Explore new features and capabilities within DialogFlow and LLMs, contributing to our understanding of the latest advancements in conversational AI Problem Solving: Tackle complex technical challenges in designing and implementing conversational flows and integrations Collaboration: Work closely with our consulting and engineering teams to deliver exceptional solutions and share your expertise What You Bring to the Table: DialogFlow Expertise: Proven experience in building and deploying chatbots using Google Cloud DialogFlow LLM Familiarity: Good understanding of Large Language Models and their application in conversational AI GCP Proficiency: Solid knowledge of Google Cloud Platform and its core services Enterprise Experience: Experience working with or for large enterprise clients What We Offer (Beyond the Standard): Real Impact: Your work will directly shape the customer experience for major Australian enterprises Continuous Learning: We are committed to your growth, providing opportunities to deepen your DialogFlow and GCP skills Equity Opportunity: Become a part-owner of Aviato (after 6 months) and share in our success Competitive Compensation and Benefits: We offer a strong salary and comprehensive benefits Remote Flexibility: Work remotely from anywhere in India, aligning with IST to collaborate effectively with our clients Direct Contribution: Your ideas and contributions will be valued and have a tangible impact on our practice Ready to be a key player in our growing Conversational AI practice and make a real difference for enterprise clients

We are looking for an Campaign and Events Manager to ensure the seamless execution, delivery, and operational efficiency of our University Business under the Explore Brand This role requires a detail-oriented, process-driven, and highly organized professional who can manage day-to-day product operations (such as but not limited to campaign execution, event logistics, asset deployment) optimize fulfilment and reporting workflows and enhance customer experience The ideal candidate will work with the University Business Team and closely collaborate with cross-functional teams such as Marketing, Product and Engineering to ensure that our product is delivered smoothly, meets service-level agreements (SLAs), and continuously improves operational efficiency What You Will Execute on a Day to Day Basis: These are the hands-on operational tasks that will ensure smooth execution of our marketing products: End-to-End Fulfilment Management Oversee the execution and delivery of products and services to ensure seamless customer experience These could include campaign fulfilment, asset management, and event logistics to name a few Product Deployment Manage product deployment (for example, campaign assets, event registrations, email workflows, ad placements, and content) and scheduling across platforms Process Execution & Workflow Management Manage order processing, service deployment, and issue resolution to maintain efficiency Performance Tracking & Reporting Ensure accurate data collection, dashboard updates, and operational reporting Stakeholder Coordination Work cross-functionally with marketing, events, product, sales, finance, and support teams to ensure flawless execution Issue Resolution & Quality Control Troubleshoot operational bottlenecks and process inefficiencies, ensuring high service quality Process Compliance Ensure adherence to SLAs, operational best practices, and standard operating procedures (SOPs) What You Will Lead, Strategize & Develop On A Regular Basis: Process Optimization & Automation Identify inefficiencies and implement automation tools, workflow improvements, and scalable fulfilment processes Scalability & Growth Planning Build systems that allow for scalable operations and fulfilment models Data-Driven Enhancements Work with the business and marketing teams to track key performance indicators (KPIs) and use insights to refine execution strategies Vendor & Partner Management Collaborate with external vendors and service providers when needed to enhance operational execution Cost & Budget Management Align with finance teams to analyze operational costs, optimize fulfilment expenses, and ensure budget efficiency Innovation & Best Practices Stay ahead of industry trends to enhance operational efficiency and service fulfilment Qualifications: Bachelors degree in Marketing, Business Administration, Operations Management, Communications, or a related field Experience : 3+ years of experience in product or marketing operations, fulfillment management, or process optimization Proven ability to manage workflows, automate processes, and optimize service delivery Strong track record in scaling operational processes and driving efficiency improvements Experience working with cross-functional teams (product, sales, marketing, finance, and customer success) to ensure seamless execution Hands-on experience managing vendors, third-party service providers, and partner relationships to optimize fulfillment Experience in SLA-driven operations, ensuring timely and high-quality service delivery Skills: Process & Workflow Management Ability to design, implement, and optimize operational workflows for seamless execution Project & Task Management Strong proficiency in managing multiple priorities, deadlines, and execution workflows Data-Driven Decision Making Ability to analyze operational metrics, identify inefficiencies, and implement process improvements Automation & Efficiency Optimization Knowledge of workflow automation tools, process automation, and AI-driven optimizations Stakeholder Management Strong ability to collaborate cross-functionally with internal teams and external partners Problem-Solving & Troubleshooting Ability to quickly diagnose operational issues and implement effective solutions Budget & Cost Management Ability to track and optimize operational costs, service delivery expenses, and vendor budgets Qualities You are a self-starter You are curious and creative by nature You are proactive and results-driven You are highly organised and detail-oriented You are a collaborative team player with a positive attitude You are adaptable to a fast-paced and changing environment You are interested in driving business impact through your role You Are A Notch Above If You Have Background in B2B SaaS, digital media, event management, or marketing services Experience working in the international student mobility industry A masters degree especially with a focus on marketing operations, business management, or process optimization Visit our culture manifesto deck to learn more about the unique Cialfo culture and the opportunity to be one of us This is an opportunity to be a part of a fun, flexible, and fast-moving organization which is scaling its global footprint The Benefits Of Being a Cialfolk Exact benefits vary depending on your location That said, all full-time Cialfo employees receive the following benefits: Paid Annual and Medical leaves Flexible working environment Comprehensive Health Insurance

Job Purpose and Impact The Senior AI Platform Engineer for AI Ops in AI & Data Science designs, builds and operates the shared MLOps / LLMOps platform that powers Cargills data-science and GenAI products. You will own CI/CD pipelines for data ingestion, model training, evaluation and deployment; automate GPU/CPU orchestration across clouds; and embed Responsible-AI, observability and cost-optimization into every stage of the lifecycle. Success is measured by model-to-production velocity, platform uptime, and total-cost-of-ownership improvements Key Accountabilities Design & Build Develop multi-agent workflow automation patterns using Agentic AI Process redesign and mapping to agentic workflow patterns Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python). Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents Platform Ops Extend evaluation, automated testing, canary rollout, and rollback for AgentOps. Profile inference latency, GPU/CPU utilization, and memory; deliver quarterly cost-to-serve reductions Operational Excellence Own on-call runbooks, SLOs, and incident reviews; embed observability. Enablement & Mentoring Coach full-stack and data-science peers on GenAI/LLMOps patterns; create internal workshops and tech blogs. Qualifications Minimum: 4 years building production software or data platforms . Typical: 5-8 years, including 2+ years with cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software devlopment

We are looking for a highly skilled Machine Learning Engineer with 1 to 2 years of experience to join our team at Kapture CRM, responsible for developing and implementing artificial intelligence solutions. The ideal candidate will have a strong background in machine learning and software product development. Roles and Responsibility Design and develop scalable machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to integrate machine learning models into existing software products. Develop and maintain large-scale data pipelines for training and testing machine learning models. Conduct research and experimentation to improve the performance of machine learning models. Work closely with data engineers to ensure seamless integration of machine learning models into larger systems. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong understanding of machine learning fundamentals, including supervised and unsupervised learning. Experience with deep learning frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and ability to analyze complex data sets. Strong communication skills and ability to work effectively in a team environment. Ability to manage multiple projects simultaneously and meet deadlines.

We are looking for a highly skilled AI Implementation Engineer with a focus on Python to join our team at Techjays. The ideal candidate will have 4 to 9 years of experience in the field. Roles and Responsibility Design, develop, and implement AI models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Work closely with data scientists to integrate AI models into existing systems. Troubleshoot and optimize AI model performance issues. Stay up-to-date with industry trends and advancements in AI. Job Requirements Strong proficiency in Python programming language. Experience with AI frameworks such as TensorFlow or PyTorch. Knowledge of machine learning algorithms and deep learning techniques. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

We are looking for a highly skilled and experienced professional to join our team as a Product Development - Digital Health expert at Benovymed Healthcare Private Limited. The ideal candidate will have 2-3 years of experience in the field. Roles and Responsibility Develop and implement digital health products that meet customer needs and exceed expectations. Collaborate with cross-functional teams to design and deliver innovative healthcare solutions. Conduct market research and analyze industry trends to identify growth opportunities. Create and maintain product roadmaps, prioritizing features and ensuring timely delivery. Work closely with stakeholders to gather requirements and provide technical guidance. Stay up-to-date with emerging technologies and trends in digital health. Job Requirements Strong understanding of digital health concepts, including eHealth, telehealth, and mobile health. Experience with product development in the medical services or hospital industry. Excellent communication and project management skills, with the ability to work effectively in a team environment. Strong analytical and problem-solving skills, with attention to detail and the ability to prioritize tasks. Ability to think creatively and develop innovative solutions to complex problems. Strong business acumen, with an understanding of market trends and industry dynamics.

Job Description We are seeking a highly skilled and motivated Software Developer with a strong background in Python to join our team. The ideal candidate will have a passion for developing automation tools to streamline our operations and reduce repetitive tasks. Additionally, the candidate will have the opportunity to contribute to our Gen AI projects, making this a great opportunity for those interested in the AI field. Responsibilities Candidate should have a minimum of 6+ years overall Experience Relevant should be at least 3- 5 years with lead exp Design, develop, and implement AI applications using Python or C#. Work on Gen AI projects and develop tools that help the organization in reducing repetitive jobs. Collaborate with cross-functional teams to define, design, test and ship new features. Conduct regular testing of systems and software to ensure optimal functioning. Troubleshoot and resolve issues and defects in AI applications. Stay updated with the latest industry trends and technologies to ensure applications are current. Provide technical guidance and coaching to developers and engineers. Skills Proven experience as an AI Developer or similar role. Proficiency in Python Good understanding multiple of Gen AI models (ChatGPT, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc. Good understanding of RAG Multi agents frameworks to create workflows Langchain or similar tools like lamaindex, langgraph etc. Knowledge of Machine Learning frameworks, libraries, and tools. Strong understanding of algorithms and data structures. Excellent problem-solving skills and solution mindset Strong communication and teamwork skills. Ability to work independently and manage ones time effectively. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com)

We are looking for a skilled Python Developer with expertise in Machine Learning to join our team at Panacorp Software Solutions. The ideal candidate will have 6 years of experience and a strong background in developing scalable and efficient machine learning models. Roles and Responsibility Design, develop, and deploy machine learning models using Python. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Implement automated testing and deployment scripts. Troubleshoot and resolve technical issues related to machine learning models. Stay updated with industry trends and advancements in machine learning. Job Requirements Strong proficiency in Python programming language. Experience with machine learning frameworks such as TensorFlow or PyTorch. Knowledge of deep learning techniques and their applications. Familiarity with cloud platforms such as AWS or Google Cloud. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.

About The Role Job Title - Editorial Research Manager Management Level :07 - Manager Location:Bangalore Must have skills: Mastery over language, structure and storytelling that translates into the ability to create C-suite ready content across formatsprint, digital, audio and video Good to have skills: Familiarity with digital storytelling tools including AI-based editorial tools is a plus. Job Summary : At Accenture Research, we publish research-driven thought leadership reports, articles and strategic points of view to influence the C-suite. We are looking for an experienced editor to be a member of the global editorial team, who will play a pivotal role in shaping the narrative voice of some of our most influential business research. You will work with researchers and leaders to create compelling content on topics ranging from AI and sustainability to strategy and reinvention. Roles & Responsibilities: Content development: Guide authors in shaping the story arc, voice and messaging across formats. Adapt content for various formats, including reports, points of view, short-form articles, podcasts and videos for a C-suite audience. Editing: Edit research reports and articles across industries and topics, with a focus on clarity, storytelling and C-level relevance Editorial oversight and quality check: Ensure all content is grammatically correct and adheres to Accentures style guide and quality standards Collaboration: Collaborate with research leads, the marketing team and business leads to deliver polished, research-driven content Professional & Technical Skills: We are looking for someone who can bring Mastery over language, structure and storytelling that translates into the ability to create C-suite ready content across formatsprint, digital, audio and video Attention to detail and strong copy editing and proofreading skills to ensure accuracy, consistency and quality The ability to navigate complexitybalancing ideas, research inputs, intended business outcomes and brand considerations The ability to advise authors on story arc, tone and prioritization of insights and work collaboratively with diverse stakeholders across multi-location teams A keen interest in and intellectual curiosity around technology, strategy and management-related issues Proficiency in Microsoft Office tools. Familiarity with digital storytelling tools including AI-based editorial tools is a plus Excellent project management, time management and communication skills Commitment to deepening writing skills and business knowledge through training Demonstrated ability to work effectively in complex, challenging stakeholder environments. Additional Information: Reports to: Research Editorial Senior Manager, Editorial, Accenture Research Education: Bachelor's degree required; advanced degree in journalism, business or related field preferred Work Experience: 12+ years of professional experience including 6+ years as an editor with a business, management, or technology publication and/or as a thought leadership editor with a professional services firm. Location: Bengaluru preferably (alternatively Hyderabad), India Preferred start date: At the earliest. About Our Company | AccentureQualification Experience: 12+ years of professional experience including 6+ years as an editor with a business, management, or technology publication and/or as a thought leadership editor with a professional services firm. Educational Qualification: Bachelor's degree required; advanced degree in journalism, business or related field preferred

Key Technical Skills & Responsibilities Must Have : React js + Node js with Java Experience Experience in JavaScript, HTML5, CSS3 and webpack Competent in building single page web applications using Node.js and React js. Experience with Java/J2EE, Spring, Microservices, REST API Experience with cross-browser, cross-platform and design constraints on the web Experience in developing automated unit and functional tests Experience in an agile development process Solid knowledge of algorithms and design patterns Have a passion for quality and writing clean, readable code that scales and performs well Good interpersonal communication skills Good to have exposure in GCP. Must Have : React js + Node js with Java Experience.