301 Gen Jobs - Page 7

Job Title Gen AI Scaled Marketing Services Lead- Senior Manager GN SONG Management :06 Senior Manager Location:Delhi/ Mumbai/Bangalore/Gurgaon/Hyderabad Must have skills:Generative AI Good to have skills:marketing strategy, Gen AI, agentic AI, agency experience, and Marketing OS experience. Job Summary : The Strategy & Consulting Global Network Song (S&C GN Song) practice works with clients across their marketing, sales and services and customer engagement functions. Our services help our clients become living businesses by optimizing their marketing, sales, and customer service strategy, thereby driving cost reduction, enhancing revenue, improving customer satisfaction, and impacting front end business metrics in a positive manner. We are seeking a visionary Senior Manager to lead and shape the future of scaled marketing services powered by Generative AI and agentic capabilities. As a Senior Manager, you will architect and drive the next generation of intelligent, insight-led, and AI-powered marketing servicesenabling operational agility, content precision, and orchestration excellence. This role demands an individual with bold strategic thinking, enterprise marketing expertise, and proven leadership across scaled delivery models. You will guide clients through transformative journeysfrom insight generation to omnichannel campaign execution and foster partnerships to build business and drive revenue. Roles & Responsibilities: Bring a thought leadership lens to emerging technologiestranslating GenAI trends, agentic workflows, and ecosystem capabilities into real-world, client-ready solutions. Define and drive the strategic roadmap for GenAI-enabled scaled marketing services across key pillars:insights, content, orchestration, and delivery Lead strategic assessments of current marketing capabilities and define GenAI-led reinvention roadmaps, future operating models, future-fit capabilities and process designs. Envisioning and Engaging in client conversations on scaling GenAI and agentic capabilities to drive existing business relationships and build new opportunities. Lead offering development, including modular components and reusable assets that span campaign strategy and execution Influence executive stakeholders across marketing, technology, and operations to drive adoption of intelligent marketing services Bring a best-in-class external perspective to martech, GenAI advancements, and ecosystem innovations Partner with internal capability leads, ecosystem partners, and industry alliances to shape go-to-market strategies Lead, Coach and develop cross functional teams to embed GenAI into core ways of working across marketing services. Professional & Technical Skills: MBA from a Tier 1 institute with a focus in Marketing, Strategy, or Technology 13-20 years of experience with at least 2 years in marketing strategy, Gen AI, agentic AI, agency experience, and Marketing OS experience. Manage C Suite and identify and drive new business in Generative AI engagements. Thought leadership articles on Marketing, scaled AI/Gen AI or Business Transformations. Ability to translate insights as a service, content services, and campaign delivery into modular AI-powered capabilities Experience managing data-driven campaign activation and optimization E2E across channels, paid and owned. Hands-on experience with Agentic solutioning and architecture design, LLMs and Generative AI frameworks (OpenAI, Anthropic, etc.) Proven experience in designing and operationalizing scaled marketing strategies using Generative AI and agentic technologies Deep understanding of LLM capabilities, content intelligence, workflow automation, and AI-driven orchestration in marketing contexts Experience with consultative selling and developing client-facing value propositions around GenAI offerings Demonstrated expertise in leading cross-functional teams, influencing C-level stakeholders, and shaping operating models Strong understanding of marketing services delivery across creative, content, insights, and media activation domains Ability to define and scale offerings by integrating ecosystem components (e.g., Adobe, Salesforce, proprietary tools) Strong analytical, storytelling, and solutioning skills to drive transformation narratives that convert into engagements Experience in working with clients across multiple industries like CPG, S&P, Finance, Lifesciences, etc. Additional Information: Accenture Strategy shapes our clients future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. About Our Company | Accenture Qualification Experience:Minimum 7 13 years of experience is required Educational Qualification:MBA

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning ServicesMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a seasoned Senior Manager CCAI Architect with deep expertise in designing and delivering enterprise-grade Conversational AI solutions using Google Cloud's Contact Center AI (CCAI) suite. This role demands a visionary leader who can bridge the gap between business objectives and AI-driven customer experience innovations. As a senior leader, you will drive architectural decisions, guide cross-functional teams, and define the roadmap for scalable and intelligent virtual agent platforms. Roles & Responsibilities:- Own the end-to-end architecture and solution design for large-scale CCAI implementations across industries.- Define best practices, reusable frameworks, and architectural patterns using Google Dialogflow CX, Agent Assist, Knowledge Bases, and Gen AI capabilities.- Act as a strategic advisor to stakeholders on how to modernize and transform customer experience through Conversational AI.- Lead technical teams and partner with product, operations, and engineering leaders to deliver high-impact AI-first customer service platforms.- Oversee delivery governance, performance optimization, and scalability of deployed CCAI solutions.- Evaluate and integrate cutting-edge Gen AI models (LLMs, PaLM, Gemini) to enhance virtual agent performance and personalization.- Enable and mentor architects, developers, and consultants on Google Cloud AI/ML tools and CCAI strategies.- 10+ years of experience in enterprise solution architecture, with 4+ years in Google Cloud AI/ML and Conversational AI platforms.- Deep expertise in Dialogflow CX, CCAI Insights, Agent Assist, Gen AI APIs, and GCP architecture.Strong leadership in managing large transformation programs involving AI chatbots, voice bots, and omnichannel virtual agents.- Proven ability to engage with senior stakeholders, define AI strategies, and align technical delivery with business goals.- Experience integrating AI solutions with CRMs, contact center platforms (e.g., Genesys, Five9), and backend systems.- Certifications in Google Cloud (e.g., Professional Cloud Architect, Cloud AI Engineer) are a strong plus.- Exceptional communication, thought leadership, and stakeholder management skills. Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot, generative AI models, prompt Engineering.V- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 18+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15-year full time education is required Qualification 15 years full time education

Skill required: NA - Business Transformation Designation: Business Transformation 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 In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Six SigmaProject ManagementData Analysis & InterpretationBusiness Process AnalysisAbility to establish strong client relationshipAbility to meet deadlinesProblem-solving skillsWritten and verbal communicationDetail orientationHR Process Design Certifications: Six Sigma-Green Belt - Six Sigma Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities:- Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.- Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.- Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya- Integrate with IVR systems and Proficiency in webhook setup and API integration.- Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.- Creation of agents in Agent builder and integrating them into end end to pipeline using python.- Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing.- Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities- Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions.- Document technical designs, processes, and setup for various integrations.- Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding.- Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques.- Experience with chatbot , generative AI models, prompt Engineering.- Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information:- The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI.- The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.- A 15 years full time education is required Qualification 15 years full time education

JR: R00210470 Experience: 14-16Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C GN - Tech Strategy- AI / Gen AI Strategy - Senior Manager Management Level: 6-Senior Manager Location: Bengaluru, BDC7A Must-have skills: Artificial Intelligence for IT Operations (AIOps) Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of Accenture Strategy and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data and AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. The rise of forerunners Recent Blogs Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Deep Understanding of data supply chain and building value realization framework for Data & AI transformations Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience:14-16Years Educational Qualification: Any Degree

Skill required: Delivery - Order to Cash (OTC) Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 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 Data & AIAn end-to-end process that addresses all aspects of collecting cash from initial order receipt and credit authorization to collections and revenue assurance activities. What are we looking for OTC working experience Demonstrated project skills and transformation in OTC area Data interpretation & Analysis Six Sigma/Lean certified basic understanding of AI/Gen AI Detail orientation Ability to handle disputes Ability to manage multiple stakeholders Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Skill required: NA - Business Transformation Designation: Specialist Qualifications: Any Graduation Years of Experience: 7 - 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 Driving transformation in F&A domain for the client globally leveraging LSS approach by leveraging standardization, policy, automation, platform etc enablers. Flexible toward work-timing (incl US timing) and work from officeIn this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Transformation experience- F&A domain Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Join our Team. About This Opportunity. We are seeking a highly skilled Data & Analytics Service Delivery Lead with proven competence on AI, and knowledge on OSS/BSS domains.. The person will join a dynamic, globally diverse team taking care about Service Delivery within Data and Analytics Domain, with Customers distributed worldwide, in a context of non-delegated business. Team objective is to bring value through the expertise within Data and Analytics domain in telecom sector. The successful candidate will primarily focus on AI, enabling the Service Delivery process, model and strategy in such area.. What You Will Do. Define and fine tune the Service Delivery strategy and the Service Offering in collaboration with Portfolio and Sales.. Support Sales for SI Services estimations.. AI Use Cases Definition and harvesting, to unlock business value.. Creation and Maintenance of Global Service Delivery Assets (Delivery Model and Pyramid, Industrialization, etc.). Scope build and scale AI Solutions.. Ensure successful Projects Delivery execution, through the implementation of domain best practices.. Drive Competence Management, internal and external.. Work together with R&D for competence ramp-up, Product Serviceability Improvements, Service Led Business enablement, development of new Features and Use Cases.. Work very close to Data and Analytics Portfolio and Sales, to properly set / fine tune the Service Delivery strategy and the Service Offering, primarily for AI.. You will bring. Demonstrated experience of more than 10 years in Service Delivery or equivalent roles in the OSS BSS space either internal or external. Out of which at least 3 years in leading Service engagements in the analytics or AI or GenAI domains. Cross-Functional Leadership Experience collaborating with diverse teams such as engineering and portfolio and marketing and sales. Technical Understanding Strong domain expertise in telecom networks experience in telecom analytics tools as well as AI and Gen AI technologies and how they apply to data management solutions. Analytical skills Proficiency in data analysis and the ability to use data-driven insights to make decisions. Demonstrated leadership track record including personal development track record on the same. Ability to lead a distributed diverse multi-cultural and matrix organization whilst securing right on time mobilization of stakeholder support for results. Excellent English verbal and written communication skill. Good to have. Entrepreneurial and commercial thinking with an interest in business management. Genuine interest in product architecture and technology. Experience working in international markets or with global teams. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Gurgaon. Req ID: 767937. Show more Show less

About Us :. At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service all backed by TELUS, our multi-billion dollar telecommunications parent.. Required Skills :. 5+ years of industry experience in data engineering, business intelligence, or a related field with experience in manipulating, processing, and extracting value from datasets.. Expertise in architecting, designing, building, and deploying internal applications to support technology life cycle management, service delivery management, data, and business intelligence.. Experience in developing modular code for versatile pipelines or complex ingestion frameworks aimed at loading data into Cloud SQL and managing data migration from multiple on-premises sources.. Strong collaboration with analysts and business process owners to translate business requirements into technical solutions.. Proficiency in coding with scripting languages (Shell scripting, Python, SQL).. Deep understanding and hands-on experience with Google Cloud Platform (GCP) technologies, especially in data migration and warehousing, including Database Migration Service (DMS), Cloud SQL, BigQuery,. Dataflow, Data Catalog, Cloud Composer, Google Cloud Storage (GCS), IAM, Compute Engine, Cloud Data Fusion, and optionally Dataproc.. Adherence to best development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, and writing clean, modular, self-sustaining code.. Familiarity with CI/CD processes using GitHub, Cloud Build, and Google Cloud SDK.. Qualifications:. Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.. GCP Certified Data Engineer (preferred).. Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams, and business audiences.. Show more Show less

We are seeking a highly skilled Machine Learning Lead to drive the development and deployment of advanced machine learning solutions across our products and platforms. This role demands a balance of technical excellence, project leadership, and a deep understanding of business goals. You will lead a team of ML engineers and data scientists, collaborating cross-functionally with product, engineering, and business stakeholders to deliver impactful AI-driven outcomes. Roles and Responsibilities Key Responsibilities: Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Must-Have: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1–2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills. Nice-to-Have: Background in domain-specific ML (e.g., healthcare, fintech, manufacturing). Familiarity with data engineering tools like Apache Spark, Airflow. Prior experience in startup or fast-paced environments. Skills to Have : Artificial Intelligence, Natural Language Processing, machine learning, Deep Learning, Scikit-Learn, Python, Pytorch, Tensorflow, data science, Huggingface, Transformers, Langchain, Crew AI, Aws Cloud, Gcp Cloud, Azure Cloud.

We are looking for a highly skilled and experienced Relationship Manager to join our team at Equitas Small Finance Bank. Roles and Responsibility Manage and maintain strong relationships with existing clients to increase business growth. Identify new business opportunities and develop strategies to expand the client base. Provide excellent customer service and support to ensure high levels of client satisfaction. Collaborate with internal teams to achieve sales targets and improve overall performance. Develop and implement effective relationship management plans to drive business results. Analyze market trends and competitor activity to stay ahead in the industry. Job Requirements Strong knowledge of Assets, Inclusive Banking, SBL, and Merchant OD products. Excellent communication and interpersonal skills to build strong relationships with clients. Ability to work in a fast-paced environment and meet sales targets. Strong analytical and problem-solving skills to analyze market trends and competitor activity. Experience working with standalone merchant accounts is an added advantage. Ability to work collaboratively as part of a team to achieve business objectives.

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

Job Summary The Cyber Security Architect will play a crucial role in designing and implementing security solutions to protect the companys digital assets. With a focus on Fortigate Next Gen Firewalls the candidate will ensure robust security measures are in place. The role involves collaborating with various teams including Sales & Marketing to align security strategies with business objectives. This hybrid position offers a dynamic work environment with a day shift schedule. Responsibilities Develop comprehensive security architecture strategies to safeguard digital assets and ensure compliance with industry standards. Implement Fortigate Next Gen Firewalls to enhance network security and protect against cyber threats. Collaborate with cross-functional teams to integrate security measures into business processes ensuring seamless operations. Analyze security systems and identify areas for improvement to optimize protection and efficiency. Conduct regular security assessments and audits to maintain the integrity of the companys digital infrastructure. Provide expert guidance on security best practices to internal teams fostering a culture of security awareness. Monitor emerging cyber threats and develop proactive strategies to mitigate risks effectively. Design and deploy security solutions that align with the companys objectives and enhance overall resilience. Oversee incident response activities ensuring swift resolution and minimal impact on business operations. Evaluate new security technologies and recommend implementations that enhance the companys security posture. Collaborate with Sales & Marketing teams to ensure security measures support business goals and customer trust. Lead training sessions to educate employees on security protocols and the importance of data protection. Maintain documentation of security policies and procedures ensuring accessibility and compliance. Qualifications Possess extensive experience in Fortigate Next Gen Firewalls demonstrating expertise in configuration and management. Have a strong understanding of cybersecurity principles and practices with a focus on network security. Experience in Sales & Marketing domain is advantageous providing insight into aligning security with business strategies. Demonstrate excellent analytical skills with the ability to identify vulnerabilities and propose effective solutions. Exhibit strong communication skills capable of conveying complex security concepts to non-technical stakeholders. Show proficiency in conducting security audits and assessments ensuring compliance with industry standards. Display a proactive approach to threat detection and mitigation staying ahead of potential risks.

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform. Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation. Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Participate in delivery reviews / product reviews, quality assurance and work as design authority Required education Bachelor's Degree Preferred education Non-Degree Program Required technical and professional expertise Experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems Experience in data engineering and architecting data platforms. Experience in architecting and implementing Data Platforms Azure Cloud Platform Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Experience in architecting complex data platforms on Azure Cloud Platform and On-Prem Experience and exposure to implementation of Data Fabric and Data Mesh concepts and solutions like Microsoft Fabric or Starburst or Denodo or IBM Data Virtualisation or Talend or Tibco Data Fabric Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc

Create Solution Outline and Macro Design to describe end to end product implementation in Data Platforms including, System integration, Data ingestion, Data processing, Serving layer, Design Patterns, Platform Architecture Principles for Data platform Contribute to pre-sales, sales support through RfP responses, Solution Architecture, Planning and Estimation Contribute to reusable components / asset / accelerator development to support capability development Participate in Customer presentations as Platform Architects / Subject Matter Experts on Big Data, Azure Cloud and related technologies Participate in customer PoCs to deliver the outcomes Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Candidates must have experience in designing of data products providing descriptive, prescriptive, and predictive analytics to end users or other systems 10 - 15 years of experience in data engineering and architecting data platforms 5 – 8 years’ experience in architecting and implementing Data Platforms Azure Cloud Platform. 5 – 8 years’ experience in architecting and implementing Data Platforms on-prem (Hadoop or DW appliance) Experience on Azure cloud is mandatory (ADLS Gen 1 / Gen2, Data Factory, Databricks, Synapse Analytics, Azure SQL, Cosmos DB, Event hub, Snowflake), Azure Purview, Microsoft Fabric, Kubernetes, Terraform, Airflow. Experience in Big Data stack (Hadoop ecosystem Hive, HBase, Kafka, Spark, Scala PySpark, Python etc.) with Cloudera or Hortonworks Preferred technical and professional experience Exposure to Data Cataloging and Governance solutions like Collibra, Alation, Watson Knowledge Catalog, dataBricks unity Catalog, Apache Atlas, Snowflake Data Glossary etc Candidates should have experience in delivering both business decision support systems (reporting, analytics) and data science domains / use cases

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and Al journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. In your role, you will be responsible for Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies. End to End functional knowledge of the data pipeline/transformation implementation that the candidate has done, should understand the purpose/KPIs for which data transformation was done Preferred technical and professional experience Experience with AEM Core Technologies OSGI Services, Apache Sling ,Granite Framework., Java Content Repository API, Java 8+, Localization Familiarity with building tools, Jenkin and Maven , Knowledge of version control tools, especially Git, Knowledge of Patterns and Good Practices to design and develop quality and clean code, Knowledge of HTML, CSS, and JavaScript , jQuery Familiarity with task management, bug tracking, and collaboration tools like JIRA and Confluence

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Skilled Multiple GCP services - GCS, Big Query, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets MA Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills

Skilled Multiple GCP services - GCS, Big Query, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets MA Intuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills