34 Watson Jobs

Qualification Requirement 1 to 2 years of hands-on experience in video editing and design with proficiency in After Effects, Premier Pro, and Canva. Knowledge of other AI tools related to video editing and design is a plus. Strong creativity with the ability to develop innovative and captivating ideas that align with project needs. Excellent time management skills, with the ability to work under tight deadlines. A keen eye for detail, and the ability to produce polished and professional work. Willingness to learn and grow in the field of video design. A portfolio showcasing your video design work is preferred. Job Responsibility Design and edit high-quality videos for various platforms using After Effects, Premier Pro, and Canva. Align visuals with the creative vision and client requirements, ensuring all video content is captivating and impactful. Work efficiently within tight deadlines, delivering tasks quickly and with precision. Stay updated with new AI editing tools and techniques, incorporating them into your work to enhance creativity and output. Collaborate with cross-functional teams to ensure videos meet project objectives and align with brand guidelines. Maintain a consistent level of creativity and quality throughout all video projects. Be willing to learn and grow in the domain of video design, staying current with industry trends.

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

Desired Qualifications: 10+ years of industry experience 4+ years experience developing and deploying conversational virtual assistants 4+ years hands-on experience utilizing platforms like Amazon Lex, Google Dialogflow, IBM Watson, Microsoft Bot Framework, Kore.AI, Rasa, or Clinc 2+ years hands-on experience building Gen AI applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures including setting up vector databases and prompt engineering Fluency in writing code in Python, JavaScript, C++ or some other high-level language Experience designing multi-agent collaboration workflows (e.g., planner-executor, tool-selector). Familiarity with agent memory types (episodic, declarative, semantic) and persistent context handling. Experience building observability dashboards and metrics for LLM/agent execution (e.g., prompt logs, traces, outcomes). Ability to translate user and business requirements into high-performing agent behaviors. Passion for emerging trends in Agentic AI, autonomous reasoning, tool augmentation, and GenAI-driven automation. Knowledge and understanding of Artificial Intelligence (AI) disciplines such as Machine Learning or Natural Language Processing Experience with Artificial Intelligence (AI) industry trends and business applications Solid understanding of conversational dialog systems, natural language processing (NLP) fundamentals, and machine learning Familiar with utterances, entities, intents, classification, annotation, business rules and APIs Experience designing, developing and deploying large training data sets Strong understanding on data management and annotation processes Must come financial services/capital markets/investment banking Excellent Analytical skills Great interpersonal and communication skills Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Responsibilities: Design and implement Agentic AI workflows that autonomously orchestrate tasks using tool calling, memory, planning, and execution capabilities. Architect end-to-end Conversational AI solutions integrated with LLMs, using platforms such as Dialogflow, Rasa, Lex, and others Partner with various partners including PM's, PO's UX designers and content strategist to plan, validate and execute the model and implementation of conversational experiences within the virtual assistant Develop and enhance model training and optimization processes with a focus on driving scalability and automation Develop tool schemas, action mappers, and execution logic to enable intelligent decision-making across diverse APIs and data sources. Lead model analysis via testing, misclassification prioritization, root cause assessment Define and implement the "intents" and "entities" that define the conversation interaction, along with the associated business rules, logic and API interactions that are required for sophisticated interactions Responsible for building human language data sets to train machine learning models driving the virtual assistant. Work closely with other members of the product team and technology partners to identify enhancements to the conversational experiences Act as a liaison between our AI Product team and Technology to ensure that our Virtual Assistant delivers intelligent and intuitive conversations, resulting in great customer experience Education Qualification: B.Tech or MCA Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Data Science and Machine Learning - Data Science and Machine Learning - Amazon Machine Learning User Interface - Other User Interfaces - JavaScript Programming Language - Other Programming Language - C++ Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing) Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Beh - Communication and collaboration

RolePricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using Emblem/R/SAS/Python Qualifications Proficient in predictive analytics methodology and its use in the insurance industry. Experienced in use of R, Python, and other open-source languages. Familiarity with Willis Towers Watson modeling software preferred. Working knowledge of P&C insurance marketplace. Knowledge and understanding of best practices and the competitive landscape. Job Location

Responsibilities: Drive business growth in assigned portfolio in AI and ML. Responsible for collaborating with clients to understand their business challenges and advise cutting-edge AI solutions using AI and Generative AI technology. Conduct research and stay updated on the latest advancements in Generative AI technology and methodologies. Provide expertise and guidance to clients and internal teams on Generative AI best practices. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Drive the team to build GenAI products and solutions. Tech Skills: Should have consulting experience with senior client stakeholders in AI ML technologies Should have strong experience in building AI and Generative AI solutions Should have solid experience developing and implementing generative AI models Experience with cloud-based platforms and services Experience with natural language processing (NLP) techniques and tools.

About the role: The Sr Cognitive Developer/Engineer will develop a conversation service that combines machine learning, natural language understanding, and integrated dialog scripting tools to provide outstanding customer engagements across multiple channels. This includes but is not limited to monitoring interactions in the application to identify underperforming content and developing solutions that will improve and enhance the performance of the voice and messaging interactions. The Sr Cognitive Developer/Engineer will develop reporting that will be utilized to drive solutions that align with company goals and initiatives. What makes you a dream candidate? Design, development and tuning of customer facing AI applications. Identify training data for voice and text-based applications. Train and test custom speech language and acoustic models Control speech synthesis of text through Speech Synthesis Markup Language (SSML) customizations. Create custom word pronunciations through the use of phonetic symbols Collaborate with technical product team, product owners and stakeholders to deliver a product that meets business, cyber, compliance and privacy requirements Perform other duties as assigned Conform with all company policies and procedures Advanced knowledge of information technology systems Knowledge of security methodologies, policies, standards and best practices Advanced knowledge of conversational AI systems and Natural Language Understanding (NLU) Advanced knowledge of testing methodology of cognitive solutions Knowledge of building AI systems for SaaS applications Knowledge of pre-trained language models Knowledge of best practices in information technology governance and regulatory landscape for financial institutions Significant experience in large and complex business environment Advanced experience developing and deploying voice and text conversational flows for virtual agents or virtual assistants Experience with developing dialog interpreters Experience with conversational patterns, such as disambiguation, digressions, slot filling and question answering Advanced level experience with Java, JSON, NLP, Python, R Experience with Cognitive Intelligence technologies and frameworks/systems such as Node JS, Javascript Ability to work in cross-functional teams with product management, user experience and engineering teams Ability to train, educate and mentor team members in area of AI Systems and NLU Ability to challenge the status quo, be curious and dare to innovate Ability to exercise independent judgement and make sound, fact-based decisions Experience: Bachelors Degree in Computer Science or equivalent area of study required 0-2 years IBM Watson or similar technology experience required 2-4 years software engineer with focus in NLP/NLU Software experience required

Position: AI Ops / ML Engineer Location: Bangalore / Chennai/ Pune/Coimbatore/NCR Experience: 4-10 years Primary Skill set : • AI / ML developers with min 7Yrs+ exp • Min 3 yr+ Working with Watson X platform in telecom OSS service assurance areas Secondary Skill (Good to have) • GenAI model development exp • Telecom service Assurance exp in ( PM, FM, SM, AD, CP) , • Exp with IBM Watson X Role & responsibilities Designs and trains models using Verizon Platform (e.g.,Watson X)Integrates models with network data. Fine-tunes models for anomaly detection, predictive maintenance and other use cases

Job Description: You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and CCAI Platform (Ujet.cx) Drive design thinking innovative workshops with the clients using design principles and reshape their thinking about customer experience especially in the contact center / customer care domain Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with internal team and client team on CCaaS (Contact Center as a Service) migration Deliver agile delivery process, continuous improvement and continuous development Work with other teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Bring your best skills forward to excel at the role: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough skills to manage stakeholder expectations and be engaging in resolving issues and risks for the success of the project Thorough understanding of CCAI Framework and integration with internal and external components.

As aIBM Spectrum LSF Add-onSoftware Developer, you will be responsible for designing and developing components and features for IBM Spectrum LSF Add-ons, and would be involved in designing , developing and discussing product delivery & strategy. You should also have leadership quality to manage and work as technical leads/software architect and be able to deliver end to end features.As part of worldwide development team, you will be collaborating with team members and clients from different timezone to support business success.You will be addressing product issues reported from clients and providing solutions of fixes in timely manner.Be an avid coder who can get his hands dirty and be involved in the coding to the deepest level.Work other developers in the dev team to maintain and improve code base.Work in an Agile environment of continuous deliverable.You’ll learn directly from Sr members/leaders in this field Required education Bachelor's Degree Required technical and professional expertise Common :1). Completion of Computer Science/Computer Engineering Degree2). 8+ years of working experience on software development projects with Agile process3). Experience of designing functional specification and implementing with code4). Exclusive experience in Java, Spring boot and Elastic search5). C, Python and NodeJS as additional skills Preferred technical and professional experience 1). Experience of using github to manage source code2). Good communication (verbal and written) and interpersonal skills3). UX and UI Design experience is an asset.4). Knowledge and experience of IBM Websphere, Webpack, Spring framework are highly desired5). experience of scikit-learn and pandas for data processing, prediction and inferencing6). Knowledge and experience of IBM Watson Machine Learning is highly desired7). Knowledge of IBM Spectrum LSF is desired

We are looking for a Junior Writer & Researcher to join our team who loves to explore ideas, delve into deep research, and collaborate to create impactful short-form content. As part of our team, you'll work across three dynamic channels, helping shape and script compelling narratives. Your Typical JD Checklist Experience: 1 to 2 years in any creative industry Reporting To: Director, Matar Media About the Role Are you a curious thinker who can also get things done? We're looking for a Junior Writer + Researcher who thrives in creative chaos, reads voraciously, and is excited to shape ideas into tight, insightful scripts. If youre passionate about content that makes an impact, wed love to meet you. What Will Your Day-to-Day Work Look Like Collaborate with the Senior Writer + Researcher on channel content direction Research approved video topics and develop detailed treatment notes Write scripts for short-form videos from start to finish Own and manage the pre-production process in line with the script Work closely with the post-production team to preserve narrative integrity Present new content ideas and strategies to the Head of Content Conduct deep-dive structured research across topics with the content team Deliver both short-form and long-form scripts for the channel You Are the Perfect Fit If: You must be a reader non-fiction, research papers, or anything that deepens your thinking Youre passionate about thoughtful, impactful content (not just UGC or trending reels) Youre a collaborative team player with a strong sense of initiative You see this as more than a job storytelling energizes you You work well under constraints and push for better-than-good Youre organized, with strong research and tabulation skills Youre proficient in scriptwriting and short-form narrative structure Youre comfortable writing treatment notes and breakdowns Familiarity with AI tools is a plus Soft Skills Clear and confident communication Prioritization in a fast-paced, deadline-driven environment Accountability and ownership of your deliverables What More Will You Get? A bandwagon of people who will always back you visit our office to find out Creative freedom to explore bold and whacky ideas We respect your time no hustle culture, just meaningful work

We create visual content for brands and need you to support our team of creatives to help create some kick-ass content. You will be scripting the visual content for YouTube videos required by clients. Your Typical JD Checklist Experience: 23 years in any creative industry Reporting To: Director at Matar About the Role As a Script Writer, your primary responsibility will be to create engaging and compelling scripts for YouTube video content. You will work closely with content creators, video editors, and producers to develop scripts aligned with channel objectives and audience preferences. Your writing will drive engagement and viewership for our clients channels. What Will Your Day-to-Day Work Look Like? Pitch new content ideas to the Head of Content Research approved topics and prepare treatment notes in collaboration with DOP, post-production lead, and other team members Write end-to-end scripts for client YouTube channels Create pitch documents, info decks, outlines, and full scripts Handle all aspects of the pre-production scripting process Skills Required Strong research capabilities Excellent script writing and storytelling skills Ability to write clear and detailed treatment notes Familiarity with AI tools (a plus) Brownie Points If You Have experience at media companies like Brut, Vox, Vice, etc. Leverage AI tools for faster research or content generation Come from a business background (education or professional exposure) Have a passion for high-quality content (beyond reels and UGC) Have a basic understanding of production and post-production workflows What You'll Get A supportive team thats always got your back Freedom to explore offbeat, bold, and unconventional ideas Respect for work-life balance no glorified hustle culture here

As a IBM Spectrum LSF Add-on Software Developer, you will be responsible for designing and developing components and features for IBM Spectrum LSF Add-ons, and would be involved in designing , developing and discussing product delivery & strategy. You should also have leadership quality to manage and work as technical leads/software architect and be able to deliver end to end features. As part of worldwide development team, you will be collaborating with team members and clients from different timezone to support business success. You will be addressing product issues reported from clients and providing solutions of fixes in timely manner. Be an avid coder who can get his hands dirty and be involved in the coding to the deepest level. Work other developers in the dev team to maintain and improve code base. Work in an Agile environment of continuous deliverable. You’ll learn directly from Sr members/leaders in this field Required education Bachelor's Degree Required technical and professional expertise Common 1). Completion of Computer Science/Computer Engineering Degree 2). 5+ years of working experience on software development projects with Agile process 3). Experience of designing functional specification and implementing with code 4). Experience of using Javascripts, HTML, CSS etc web technology to debug the frontend page 5). Experience of using Linux OS and Mysql/MariaDB database 6). Understanding of the principles of Object Oriented software design and programming for PAC , Explorer and Process Manager1). Strong knowledge of Java with a focus on web base UI development 2). Work experiences of AngularJS, Nodejs, RESTful web services API 3). Knowledge and experience of C/C++ development Preferred technical and professional experience 1). Experience of using github to manage source code 2). Good communication (verbal and written) and interpersonal skills 3). UX and UI Design experience is an asset. 4). Knowledge and experience of IBM Websphere, Webpack, Spring framework are highly desired 5). experience of scikit-learn and pandas for data processing, prediction and inferencing 6). Knowledge and experience of IBM Watson Machine Learning is highly desired 7). Knowledge of IBM Spectrum LSF is desired

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

Department: 73-436 Customer Services CoE Location: India Hyderabad Description DAZN is a world-changing sports broadcaster bringing thousands of sporting events into millions of households across the world, delivering live sport direct to consumers through 100s of devices in over 200 countries We have a fantastic opportunity in our Customer Service team for a Conversational Developer working on our Chatbot/Virtual Assistant Product To be successful in this role your customer obsession and data-driven decision-making approach will drive you to balance the needs of customers with operations team, ensuring you are always creating long term value for DAZN This role will be based in our brand new Hyderabad office and you will work on call and in shifts Join us in Indias beautiful ?City of Pearls? and bring your ambition to life Benefits will include access to DAZN, an annual performance related bonus, family friendly community, free access for you and one other to our workplace mental health platform app (Unmind), learning and development resources, opportunity for flexible working and access to our internal speaker series and events As our new Conversational Developer you'll have the opportunity to: Design and develop cutting-edge, scalable conversational AI applications Work with Product and Customer Service Managers to define requirements, develop and deliver critical customer journeys Develop wireframes and prototypes around customer needs Develop the conversational architecture from ideation to implementation including authentication and integration with other systems using APIs Work with the Chabot development team help deliver the Customer Service vision and roadmap Oversee the solution delivery through hyper care process and post launch ensuring the solution operates effectively and aligned to business expectations in a production environment Support UAT teams to complete both functional and automated testing Liaise with international business stakeholders to obtain approval/sign off for any conversational Use available systems/tools to identify bugs/faults and resolve in a timely manner Stay up to date with changes and enhancements to the software and tools you use on a regular basis You'll be set up for success if you have: Previous experience in working on bots or with natural language (e g , Ada, Salesforce Einstein, IBM Watson, Microsoft Luis, Amazon Lex) but were also really interested to hear from anyone from a User Experience or Editorial background or interest Your experience doesn't need to come from an enterprise/professional setting Practice customer first mindset and think about how they interact with our products Experience in leveraging analytics to test, review and iteratively improve NLP models Experience developing, debugging, and deploying Conversational AI Virtual Agent Adaptability and flexibility to flourish within a fast-paced expanding business, where priorities can change rapidly A proactive nature, always looking to improve the product and yourself An eye for detail to ensure change is well thought through and successfully developed, tested and delivered within defined timescales Good analytical, strategic thinking and problem-solving skills to analyse and interpret business challenges or data Excellent verbal and written communication with the ability to simplify complex issues for all levels

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years’ experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying software’s on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring. Preferred technical and professional experience NA

Urgent Requirement for Microsoft Copilot studio & Python . Experience:5+ Years Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLMs (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments.

Job Title - GN - SONG - Service - Google Gen AI - Analyst Management Level: 11-Analyst Location: Gurugram, DDC1A Must-have skills: Google Generative AI Studio Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of these, you will drive the following: Ability to provide CX solution with Google CCAI suite of contact center products such as Dialogflow CX, Agent Assist, Insights CX and knowledge/experience on Google Gen AI product suite like Vertex AI, Google Gemini, Decibel, Generators, Generative Fallback, Playbooks, LLM based topic modelling, LLM Agent Assist. Drive design thinking innovative workshops with the clients using design principles and help shape their Gen AI implementation strategy thinking about the business value proposition and customer experience. Perform CX management capability assessment and identify foundational, evolving and advanced capabilities, co-create the roadmap path with the clients to achieve leading class CX capabilities Ability to understand business requirements still putting customer experience at the heart of CX design Ability to think and pre-empt scenarios and questions from cross functional client team (from CX operations, IT, Contact Center operations, digital, analytics, line of business etc) Work with technical Google team/developers to convert user requirements into final product Work with Accenture and client team on CCaaS (Contact Center as a Service) migration Deliver using agile delivery process, continuous improvement and continuous development Work with other Accenture teams to put forward differentiated CX management solutions for large clients (RFI and RFP process) Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort, and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends, and bringing in innovative solutions, etc. Bring your best skills forward to excel at the role: A strong and well-established record of accomplishment in designing and delivering Google CCAI solutions and platform Experience of working with business stakeholders across multiple geographic areas, with different priorities and requirements Ability to work in high-paced and complex projects and understand industry-specific customer service processes, operations, and functional needs Thorough understanding of CCAI Framework and integration with internal and external components. 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. Passion for building leading class Google contact center solutions for clients Having thorough understanding of end to end Google contact center transformation Thorough understanding of CX & contact center architecture and project experience with Google CCAI solution is a must Experience on working with other Conversational AI (like Amazon Lex, IBM Watson, Microsoft PVA, Nuance, Khoros, etc.) and CCaaS platforms (Genesys, Amazon Connect, Avaya, Cisco, Sprinklr, etc.) is good to have Experience of building Gen AI based use-cases and solutions that work across industries and markets Story boarding, creating differentiated solution as per client needs and compelling story telling is a must Ability to work with ambiguity and exploratory mindset is a must Strong Analytical skills, excellent written and oral communication skills Experience working in a large, complex global team environment Excellent verbal and written communication skills, with the ability to present at the Board and C-level Ability to work effectively in a remote, inclusive, virtual, global environment 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. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Read about us. Blogs Qualification Experience: 3 to 5 Years Educational Qualification: BE Btech

We are looking for an expert in machine learning to help us extract value from our Electromyography [EMG] data You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field Qualifications:- Knowledge of ML-AI tools is mandatory, and- Bachelor's Degree in Engineering or equivalent education or job experience Skills, Abilities, Competencies Required: Must have excellent interpersonal and communication skills (verbal and written) Willingness to work flexible hours as needed Be able to follow detailed procedures and ensure accuracy and quality in documentation and data Must have the ability to adapt to changing pace within the company, with frequent interruptions Must demonstrate flexibility and willingness to adapt to diverse roles as a member of the core team Willingness to learn needed skills on the job in order to enhance performance Proficient in using Google Workspace

About Team: IT Team is responsible for overseeing IT Assets (hardware and software) issuance and allocations to the respective users. Our motto is “ Getting IT Right Every time ” and our expectation is that we will ensure that all our end users across all grades (full-time MGs), interns, off rolls, SG) have access to the best IT assets which will help the users in delivering their duties to their fullest abilities and thereby contributing to the ever-increasing growth of the organization. Title IT Program Manager (Finance) About the role Work with the IT Head and drive the following key KPIs: Usage Monitoring: Track the usage of key licenses and proactively highlight any potential overage risks. Building up the consumption and tracking up the best renewal requirements. Cost Provisioning: Assist accounting team in closure of books through timely and correct provisioning of usage and cost actualisation for P&L management. Cost projection and planning for high value tools and software. Budget Tracking: Work with product and engineering teams to prepare the company wide budgets. Track the actual expenditure vs budgeted and appraise the management of any deviation Evaluate budget planning and cost management for various licenses, softwares, API and other cloud services. Contract Negotiation: Work with the purchase team in negotiating and structuring the contracts of different IT related services. Check with business for any renewal requirement of IT related tools and softwares. Optimization: Employ AI tools to drive ongoing enhancements in processes, systems, and tracking Superpowers/ Skills that will help you succeed in this role Degree in Finance with 5+ years of experience Excellent verbal and written communication abilities across all levels of an organization Cohesively work with a lot of people, across functional teams every day Advanced Microsoft Excel skills and experience with other financial systems such as SAP, Anaplan Proficiency with AI tools including ChatGPT, Google Gemini, and Notebook LM

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

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

Actuarial - GI - Pricing - Deputy Manager - RNA Full-time Company Description About The Role RolePricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using Emblem/R/SAS/Python Qualifications Proficient in predictive analytics methodology and its use in the insurance industry. Experienced in use of R, Python, and other open-source languages. Familiarity with Willis Towers Watson modeling software preferred. Working knowledge of P&C insurance marketplace. Knowledge and understanding of best practices and the competitive landscape. Job Location Cookies Settings

What you will do In this vital role you will be responsible for designing, developing, and maintaining software solutions for Research scientists. Additionally, it involves automating operations, monitoring system health, and responding to incidents to minimize downtime. You will join a multi-functional team of scientists and software professionals that enables technology and data capabilities to evaluate drug candidates and assess their abilities to affect the biology of drug targets. This team implements LIMS platforms that enable the capture, analysis, storage, and report of pre-clinical and clinical studies as well as those that manage biological sample banks. The ideal candidate possesses experience in the pharmaceutical or biotech industry, strong technical skills, and full stack software engineering experience (spanning SQL, back-end, front-end web technologies, automated testing). Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software Identify and resolve software bugs and performance issues Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time Maintain detailed documentation of software designs, code, and development processes Customize modules to meet specific business requirements Work on integrating with other systems and platforms to ensure seamless data flow and functionality Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently Possesses strong rapid prototyping skills and can quickly translate concepts into working code Contribute to both front-end and back-end development using cloud technology Develop innovative solution using generative AI technologies Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations Identify and resolve technical challenges effectively Stay updated with the latest trends and advancements Work closely with product team, business team including scientists, and other stakeholders What we expect of you Masters degree and 1 to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Bachelors degree and 3 to 5 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field OR Diploma and 7 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field. Basic Qualifications: Proficient in C#.NET Proficient in a Javascript UI Framework (e.g. React, ExtJs) Proficient in SQL (e.g. Oracle, PostGres, Databricks) Experience with Event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka) Preferred Qualifications: 1+ years of experience in implementing and supporting LIMS platforms Strong understanding of software development methodologies, mainly Agile and Scrum Hands-on experience with Full Stack software development Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes) Working experience with DevOps practices and CI/CD pipelines Experience with big data technologies (e.g., Spark, Databricks) Experience with API integration, serverless, microservices architecture (e.g. Mulesoft, AWS Kafka) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation) Experience with version control systems like Git Experience with automated testing tools and frameworks Experience with STARLIMS, Watson, LabVantage, or similar LIMS platforms Professional Certifications: AWS Certified Cloud Practitioner (preferred) Soft Skills: Excellent problem solving, analytical, and troubleshooting skills Strong communication and interpersonal skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to learn quickly & work independently Team-oriented, with a focus on achieving team goals Ability to manage multiple priorities successfully Strong presentation and public speaking skills

About Accenture:Accenture is a global professional services company with leading capabilities in digital, cloud and security. 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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us atwww.accenture.comResponsibilities/AuthoritiesA Telco domain experienced and data science analyst/consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders – Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements – and be able to inform the best approach to the problem Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints Storytelling – Crunch the data & numbers to craft a story to be presented to senior client stakeholders Should be able to travel or relocate to Japan as per business requirementJOB REQUIREMENTS – Overall Experience Industry experience in Telecom JLPT N2/N3/N4 Japanese language certification is a must Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Relevant experience of 7+ years for Consultant role Demonstrated experience in solving real-world data problems through Data & AI Qualifications Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data

Description - External Role – AIML Data Scientist Location : Kochi Mode of Interview - In Person Date : 14th June 2025 (Saturday) Job Description: 1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem b. Improve Model accuracy to deliver greater business impact c. Estimate business impact due to deployment of model 2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge 3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch 5. Experience in using Deep learning models with text, speech, image and video data a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV c. Knowledge of State of the art Deep learning algorithms 6. Optimize and tune Deep Learnings model for best possible accuracy 7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau 8. Work with application teams, in deploying models on cloud as a service or on-prem a. Deployment of models in Test / Control framework for tracking b. Build CI/CD pipelines for ML model deployment 9. Integrating AI&ML models with other applications using REST APIs and other connector technologies 10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus