301 Gen Jobs

SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Primary Skill Set: Microservices LLM, Agentic AI Framework, Predictive modelling

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Gurugram, Haryana, India Minimum qualifications: Bachelors degree or equivalent practical experience, 5 years of experience in project management, Preferred qualifications: 4 years of experience in project management, 3 years of experience in troubleshooting or triaging Demand Gen Campaign, Experience in account/campaign management, technical troubleshooting, or customer support, Experience in data analysis, dashboards creation and identification of product and business insights, Experience in Ads escalations (i-e , handling customer communications, filing bugs to engineering, etc), About The Job gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack We help our customers get the most out of our Ad and Publisher products and guide them when they need help We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner, Google creates products and services that make the world a better place, and gTechs role is to help bring them to life Our teams of trusted advisors support customers globally Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customerscomplex needs Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products, To learn more about gTech, check out our video , Responsibilities Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues interacting directly with Google's advertisers (if required) and business teams, agencies, and partners, Apply deep product expertise solving technical customer issues, escalations, and carrying out projects, Analyze data and generate insights to create action plans to solve issues at the root cause for our customers focusing on knowledge management, operational improvements, account reviews and product adoption, Partner with business and other cross-functional partner teams to own and continuously improve the customer journey, resolve issues, and understand customer pain points Share insights and provide expertise to our partner teams to support product and process improvements, Be responsible for the development, maintenance, and delivery of knowledge management resources and training programs to ensure customer support agent competency, Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form , Show

Your Role Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Your Profile Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. What You Will Love Working at Capgemini Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

As part of a recently public company, youll have the autonomy and support to make an impact as we build for the long term, About the role: Samsara Technologies India Private Limited is looking for an experienced Sr Business Application Engineer who has worked in he Business Systems team makes systems/processes more efficient, reduces manual, low-value work, and enables the company to run better, make better choices, and ultimately be more profitable Our company is unique in that we are a truly hybrid hardware and SaaS business This creates new challenges in both Order-to-Cash and financial processes We are seeking a creative, intellectually curious individual to collaborate and solve for these complex needs, We are seeking a skilled UiPath Developer with 3-4 years of experience in automating processes for NetSuite, Salesforce, and Workday The ideal candidate will be responsible for analyzing business processes, designing automation workflows, and collaborating with cross-functional teams to optimize business operations, This hybrid position requires 3 days per week in our Bangalore office and 2 days working remotely This position requires working hours in [timezone] Relocation assistance will not be provided for this role, You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impacthelping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely, You are the architect of your own career: If you put in the work, this role wont be your last at Samsara We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment, Youre energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers, You want to be with the best: At Samsara, we win together, celebrate together and support each other You will be surrounded by a high-calibre team that will encourage you to do your best In this role, you will: Be responsible for managing existing RPA automation bots and creating new ones for NetSuite, Salesforce, and Workday, Collaborate with the Finance team and stakeholders to gather automation requirements and design optimal RPA/ Gen AI solutions, Develop, test, and deploy UIPath/ Gen AI robots to automate various business processes, including data extraction, data entry, and workflow automation, Customize and maintain UIPath/ Gen AI workflows, orchestrators, and automation scripts for NetSuite, Salesforce & Workday process, Ensure the scalability, reliability, and performance of automation solutions, Troubleshoot and debug issues in existing automation workflows and implement necessary fixes, Collaborate with cross-functional teams to integrate RPA/ Gen AI solutions with other systems and applications, Stay updated with the latest UIPath/ Gen AI features and best practices to continuously improve automation capabilities, Document automation processes, configurations, and changes for reference and knowledge sharing, Monitor and optimize the performance of UIPath/ Gen AI robots and processes to meet defined KPIs and SLAs, Stay informed about industry trends and emerging technologies in the RPA/ Gen AI field, Ensure that all automation solutions adhere to security and compliance standards, Implement best practices for data protection and privacy, Provide support for key month/quarter-end close processes (on call), Champion, role model, and embed Samsaras cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Bachelor's degree or equivalent at least 5+years of experience, 3 years of experience as a UiPath Developer Proficiency in UiPath Studio, Orchestrator, and other UiPath products, Proficiency in Gen AI or willing to learn new Gen AI tools & implementation, Familiarity with NetSuite/ Salesforce/ Workday platforms, including knowledge of their data structures and business processes Programming skills in languages such as C#, VBDot net, or Python Knowledge of process automation best practices and industry trends Experience with integrating UiPath with external systems and APIs UiPath certifications (e-g, UiPath Certified Developer) are advantageous An ideal candidate also has: Proficiency in UiPath/ Gen AI development and automation Responsible for managing existing automation bots and creating new ones within NetSuite, Salesforce, and Workday Workflow design and optimization skills specific to NetSuite/ Salesforce/ Workday Coding and scripting abilities for custom activities within the platforms Excellent problem-solving abilities and attention to detail Work ethic: You do what it takes to make a project go well You are equally comfortable taking personal ownership for a task as delegating it Able to handle ambiguity and work effectively in a fast-paced and fluid environment for a mid to enterprise sized organization Proven experience in optimizing and enhancing automation processes over time UiPath certifications (e-g, UiPath Certified Developer) are advantageous

About The Role 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 Adaptable and flexibleAbility to perform under pressureProblem-solving skillsDetail orientationAbility to establish strong client relationship 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

Responsibilities: Architectural Design & Leadership: Lead the design and development of end-to-end scalable, secure, and cost-effective Azure-based architectures for Generative AI solutions, including large language models (LLMs), image generation, and other AI-driven applications. Generative AI Expertise: Provide deep subject matter expertise in Generative AI technologies, including model selection, training methodologies, fine-tuning, prompt engineering, and deployment strategies. Azure Service Mastery: Demonstrate comprehensive knowledge of Azure services relevant to AI/ML, such as Azure Machine Learning, Azure OpenAI Service, Azure AI foundary, AI Hub, Prompt Flow, Azure Kubernetes Service (AKS), Azure Data Lake Storage, Azure Databricks, Azure Functions, Azure Cosmos DB, Azure SQL Database, and relevant networking and security services. Cost Optimization: Design architectures with a keen eye on cost efficiency, proactively identifying and implementing strategies for optimizing Azure resource consumption for AI workloads. Security by Design: Embed security best practices into all architectural designs, ensuring compliance with industry standards and organizational security policies. This includes data encryption, access control, network security, and threat mitigation strategies. Review Board Approvals: Prepare and present detailed architectural designs and security postures to Architecture Review Boards and Security Review Boards, effectively addressing feedback and securing necessary approvals. Technical Guidance & Mentorship: Provide technical leadership, guidance, and mentorship to development teams, ensuring successful implementation and adherence to architectural standards. Stakeholder Collaboration: Collaborate effectively with product owners, data scientists, machine learning engineers, and other stakeholders to translate business requirements into technical solutions. Staying Current: Continuously research and evaluate emerging Azure services, Generative AI technologies, and industry trends to recommend innovative solutions. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Experience: 10+ years of experience in IT architecture, with at least 5 years focused on Azure cloud solutions. Proven experience in designing and implementing architectures for Generative AI solutions. Extensive experience presenting and gaining approvals from architectural and security review boards. Technical Skills: Deep understanding of Generative AI concepts, algorithms, and frameworks (e.g., Transformers, GANs, Diffusion Models). Hands-on experience with Azure OpenAI Service and other relevant Azure AI services. Strong proficiency in scripting/programming languages such as Python. Expertise in cloud security principles and best practices on Azure. Solid understanding of networking concepts, identity and access management (IAM), and data governance in Azure. Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure AI Engineer Associate Soft Skills: Excellent communication, presentation, and interpersonal skills. Strong analytical and problem-solving abilities. Ability to work independently and as part of a team in a fast-paced environment. Demonstrated ability to influence and lead without direct authority.

Educational Requirements Bachelor of Engineering Service Line Cloud & Infrastructure Services Responsibilities 5+ years of experience in Desktop support Strong Experience in windows 10 and 11 support. Able to manage a team of 10-20 members Mandatory to work 24X7 shifts Experience with scripting automation using Vbscript, powershell, or other scripting languages, with three years’ experience using PowerShell to automate task would be an added advantage. Preferred Skills: Technology-Database-Database- ALL Technology-EUC-EUC-Others Technology-Infrastructure-Storage-Administration-Server-Storage-Others-Pure Storage Technology-Storage Administration-NetApp

Educational Requirements Bachelor of Engineering Service Line Infosys Quality Engineering Responsibilities Implement Generative AI based solutions using Infosys and Industry standard tools and platforms Implement prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results. Perform AI assurance to test AI infused applications Work closely with cross-functional teams to ensure prompts align with company objectives and user experience. Identify and report bugs, performance bottlenecks, and safety issues. Stay up-to-date with the latest advancements in Generative AI and testing methodologies. Identify and report bugs, performance bottlenecks, and safety issues. Technical and Professional Requirements: Hands-on experience in Python LangChain programming Experience in using Traditional AI/ML Models in SDLC Experience in leveraging Azure AI Services in projects Experience in Generative AI Concepts such as Advanced Prompt Engg, RAG, leveraging LLMs etc. Excellent communication skills & Analytical skills Knowledge about Agentic AI Frameworks, Commercial GenAI Platforms/Tools (Optional) Open AI , models knowledge is important Preferred Skills: Technology-Machine Learning-Generative AI Technology-Machine Learning-AI/ML Solution Architecture and Design-generative ai

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency* Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.* Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security* Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables* Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement* Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides* Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI* Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering* Excellent communication, teamwork, problem-solving, and leadership skillsTech SkillLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, KafkaSoft SkillCommunication, Team Work, Problem Solving Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based AI platforms, such as AWS or Azure* Knowledge of containerization technologies, such as Docker* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)* Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-GoLearn Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency* Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.* Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security* Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables* Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement* Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides* Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI* Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering* Excellent communication, teamwork, problem-solving, and leadership skills Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based AI platforms, such as AWS or Azure* Knowledge of containerization technologies, such as Docker* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)* Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology-OpenSystem-Python - OpenSystem-Flask Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Programing language C-go lang Technology-Machine Learning-Generative AI-retrieval augmented generation (rag)

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions* Work with large datasets to train and test AI models, and optimize their performance* Apply Prompt Engineering techniques to improve the overall performance of the AI systems* Troubleshoot and debug AI systems to ensure optimal performance and reliability* Provide technical guidance and expertise to ensure high-quality deliverables* Collaborate with the cross functional teams* Participate in code reviews and contribute to the improvement of the overall code quality Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development* Strong proficiency in Python programming language* Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering* Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions* Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams KeywordsLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Technical and Professional Requirements: Preferred Qualifications:* Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer* Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras* Familiarity with containerization using Docker and Kubernetes* Experience with agile development methodologies and version control systems, such as Git* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, such as continuous integration and continuous deployment* Knowledge of cloud computing platforms, such as Azure / GCP / AWS Preferred Skills: Technology-Analytics - Solutions-SQL Server - Analytics Technology-Machine Learning-Python Technology-Programing language C-go lang Technology-Machine Learning-Generative AI-retrieval augmented generation (rag)

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.* Collaborate with cross-functional teams to identify business needs and develop tailored solutions* Provide technical leadership and guidance to junior team members* Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions* Communicate complex technical concepts to non-technical stakeholders and team members* Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance* Develop and maintain technical documentation, and ensure that all solutions are well-documented and easily maintainable Additional Responsibilities: Required Qualifications:* B.E/B.Tech/M.E/M.Tech/MCA degree in Computer Science, Information Technology, or a related field* At least 8 years of experience in software development, with at least 2 years of experience in Generative AI* Proficiency in LangChain, Python, Generative AI, Agentic AI, Kafka, and Advanced Prompt Engineering Techniques* Strong understanding of software architecture, design patterns, and principles* Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions* Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholdersTech SkillLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, KafkaSoft SkillCommunication, Team Work, Problem Solving Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based technologies, such as AWS or Azure* Familiarity with containerization using Docker, and orchestration using Kubernetes* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Knowledge of data engineering, data warehousing, and data governance* Experience with agile development methodologies, such as Scrum or Kanban* Certification in data science, machine learning, or a related field* Experience with leadership and mentoring, with a proven track record of guiding junior team members and helping them grow in their careers* Strong business acumen, with the ability to understand business needs and develop solutions that drive business growth and improvement. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Machine Learning-Generative AI Technology-Machine Learning-AI/ML Solution Architecture and Design-generative ai

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

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 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

Job description Join us as a Business Analyst at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standard You'll spearhead the evolution of our digital landscape, driving innovation and excellence You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences To be successful as a Business Analyst you should have experience with: Good experience as a Business Analyst role and out of which relevant experience required on Chatbot AI / Gen AI / Amazon Web Services (not mandatory) Ability to understand, analyse & document complex processes, features and stories Knowledge of software design Knowledge of software development processes Excellent organizational, problem solving and analytical abilities Familiarity with Scrum techniques and Agile methodology Prior experience of Business Analysis skills Some Other Highly Valued Skills May Include Amazon Web Services Gen AI Prior experience of having working on ChatBOT functionality Certification on Business Analysis (if any) You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills The role is based out of Pune Purpose of the role To support the organisation, achieve its strategic objectives by the identification of business requirements and solutions that address business problems and opportunities Accountabilities Identification and analysis of business problems and client requirements that require change within the organisation Development of business requirements that will address business problems and opportunities Collaboration with stakeholders to ensure that proposed solutions meet their needs and expectations Support the creation of business cases that justify investment in proposed solutions Conduct feasibility studies to determine the viability of proposed solutions Support the creation of reports on project progress to ensure proposed solutions are delivered on time and within budget Creation of operational design and process design to ensure that proposed solutions are delivered within the agreed scope Support to change management activities, including development of a traceability matrix to ensure proposed solutions are successfully implemented and embedded in the organisation Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate Will have an impact on the work of related teams within the area Partner with other functions and business areas Takes responsibility for end results of a teams operational processing and activities Escalate breaches of policies / procedure appropriately Take responsibility for embedding new policies/ procedures adopted due to risk mitigation Advise and influence decision making within own area of expertise Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Make evaluative judgements based on the analysis of factual information, paying attention to detail Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave.

Skill required: NA - Business Transformation Designation: Business Transformation Manager Qualifications: Any Graduation Years of Experience: 13 to 18 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 Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.You will be aligned with our Functional and Process Excellence vertical and help us provide consulting support to solve for strategic and operational business problems for our global clients leveraging Transformation methodologies and assets. You will be working as a part of the Business Transformation team which drives continuous improvement projects and interact with client or internal stakeholders to drive and influence improvement objectives. This team is responsible for breaking down the end-to-end process to identify automation/improvement opportunities and create automation/transformation roadmaps.This team is also responsible for delivering large scale end-to-end process transformation projects for global clients. The Project Delivery Excellence team focuses on developing and implementing a strong foundation of processes, systems, measurements, and controls that can help deliver high-performance consistently. The team is responsible for delivering the articulated client value proposition to drive high-value outcomes for their business. They proactively identify the key issues because of which there may be any escalation from internal or external (client)stakeholders. What are we looking for 13+ years of strong software design & development experience Experience in Automation Anywhere A360, Document Automation Co-pilot, Python Deep experience in architectural design, infrastructure planning, and automation scalability Effective GEN AI Prompts creation for Data extraction using GEN AI OCR Experience with APIs, data integration, and automation best practices Experience in VBA and Python Script programming Good Knowledge of GEN AI, Machine Learning Should have good hands-on in core .NET concepts and OOPs Programming Understands OO concepts and consistently apply them in client engagements Hands on experience in SQL & T-SQL Queries, Creating complex stored procedures Exceptional presentation, written and verbal communication skills (English) Good understanding of workflow-based logic and hands on experience using process templates, VBO design and build Should understand process analysis and pipeline build for automation process Strong programming knowledge on HTML, JavaScript / VB scripts Exposure to A360 Control Room features Azure Machine Learning, Azure Databricks, and other Azure AI services Lean six sigma certifications Exposure to SAP automation Exposure to GDPR compliance Experience in Cloud-based automation deployments Agile development methodologies Automation Anywhere A360 Master/Advanced certification Familiarity with Low-Code/No-Code (LCNC) automation platforms Experience with the Google Stack and understanding of AI/ML and Generative AI is preferred Roles and Responsibilities: Lead the team to develop automation bots and processes using A360 platform. Utilize A360s advanced features (AARI, WLM and API Consumption, Document automation, Co-pilot) to automate complex tasks, streamline processes, and optimize efficiency Responsible for maintaining automation tracker, GenERA, regular patches and upgrades for GenWizard components in client network Facilitate knowledge sharing sessions to create awareness and identify automation opportunities Integrate A360 with various APIs, databases, and third-party tools to ensure seamless data flow and interaction between systems Should be able to identify and build the common components to be used across the projects Collaborate with cross-functional teams including business analysts, Process Architects to deliver holistic automation solutions that cater to various stakeholder needs Strong SQL database management and troubleshooting skills Serve as a technical expert on development projects Review code for compliance and reuse. Ensure code complies with RPA architectural industry standards Lead problem identification/error resolution process, including tracking, repairing, and reporting defects Creates and maintains documentation to support role responsibilities for training, cross-training, and disaster recovery Monitor and maintain license utilization and subscriptions Maintain / monitor RPA environments (Dev/Test/Prod) Review and ensure automation runbooks are complete and maintained Design, develop, document, test, and debug new robotic process automation (RPA) applications for internal use Qualification Any Graduation

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.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skills 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

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.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skillsDetail orientationAbility to establish strong client relationship 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

Responsibilities: * Lead AI strategy development & implementation * Collaborate with cross-functional teams on ML initiatives * Design, architect & optimize AI solutions using latest techs Work Location - Remote Clients - Saudi Arabia Health insurance Annual bonus

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Senior Data Analytics Specialist - we are looking for individuals with strong experience in Power BI and Tableau OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Design and create interactive dashboards to effectively communicate data insights to stakeholders. Gather and extract data from various databases, Excel, and other relevant sources to support BI reporting and analysis. Engage with stakeholders to understand their reporting needs and define key performance indicators (KPIs) and ensure alignment with business objectives. Coordinate with various stakeholders to understand the data structure, collect, clean, transform, validate, and visualize datasets, ensuring the integrity of our data flows Develop data models to identify relationships and trends within the data, enhancing the understanding of business performance. Perform analysis in SQL and Python to derive actionable insights and support data-driven decision-making. Maintain and optimize existing BI reports and dashboards, ensuring accuracy and relevance of the information presented. Manage the design, development, and delivery of self-service data infrastructure Identify and manage dependencies and risks across various analytics datasets and models Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Overall experience of 2+ years in business intelligence tools such as Power BI, Tableau. Excellent analytical and problem-solving skills with proven ability to deliver actionable insights and proficiency in data modelling and visualization skills. Proven experience with data automation, creating dashboards in Power BI and Tableau and analytical models. Strong written and verbal communication skills with demonstrated ability to interact effectively with all levels of stakeholders (both internal and external) Fast learner with ability to learn and pick up a new tool/ platform quickly Advanced skills in MS-office, along with familiarity with Gen AI and other analytical tools preferred Experience in data analytics tools such as SQL and python is preferred Willingness to travel as required to meet client needs. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Technical Expertise: Must Have Proficient in Java (must have ) . Hands-on experience with AWS AI services such as AWS Bedrock and Sagemaker. Good to have Python(good to have) programming with experience in libraries like TensorFlow, PyTorch, NumPy, and Pandas Experience with DevOps practices, including CI/CD pipelines, system monitoring, and troubleshooting in a production environment. Familiarity with other platforms like Google Gemini, and Copilot technologies. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Ability to work with teams in a dynamic, fast-paced environment. Key Responsibilities: Design, develop, and implement AI and machine learning models using AWS AI services like AWS bedrock and Sagemaker. Fine-tune and optimize AI models for business use cases. Implement Generative AI solutions using AWS Bedrock and Java. Write efficient, clean, and maintainable Java/Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Experience: 5 to 8 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Mandatory Competencies Programming Language - Java - Core Java (java 8+) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Middleware - API Middleware - Microservices

About the role: The expectations from this role are two-fold. Backend Developer who can perform data analysis and create outputs for Gen AI related tasks while supporting standard data analysis tasks. Gen AI expert who can effectively understand and translate business requirements and provide a Gen AI powered output independently. The person should be able to: Analyse data as needed from the data tables to generate data summaries and insights that are used for Gen AI and non-Gen AI work. Collaborate effectively with cross-functional teams (engineering, product, business) to ensure alignment and understanding. Create and use AI assistants to solve business problems. Comfortable providing and advocating recommendations for a better user experience. Support product development teams, enabling them to create and manage APIs that interact with the Gen AI backend data and create a next gen experience for our clients. Visualize and create data flow diagrams and materials required for effective coordination with devops teams. Manage the deployment of related APIs in Kubernetes or other relevant spaces Provide technical guidance to the UI development and data analyst teams on Gen AI best practices. Coordinate with business teams to ensure the outputs are aligned with expectations. Continuously integrating new developments in the Gen AI space into our solutions and provide product and non-product implementation ideas to fully leverage potential of Gen AI. The person should have: Proven experience as a data analyst, with a strong track record of delivering impactful insights and recommendations. Strong working knowledge of OpenAI, Gemini or other Gen AI platforms, and prior experience in creating and optimizing Gen AI models. Familiarity with API and application deployment, data pipelines and workflow automation. High-agency mindset with strong critical thinking skills. Strong business acumen to proactively identify what is right for the business. Excellent communication and collaboration skills. Technical Skills: Python SQL AWS Services (Lambda, EKS) Apache Airflow CICD (Serverless Framework) Git Jira / Trello It will be great to have: Good understanding of marketing/advertising product industry. At least 1 Gen AI project in production. Strong programming skills in Python or similar languages. Prior experience in working as Devops engineer or have worked closely with Devops. Strong background in data management.

Looking for smart, curious and highly motivated engineers from an Application Support or Test Automation background, who have good experience in Python and SDLC . The ideal candidate who has the desire to work on Gen AI projects would have enrolled themselves in some Gen AI courses, and should have done some reading/exploration by themselves. The ideal candidate should have 4-10 years of practical work experience in areas like - integrating/managing APIs, async programming frameworks/libraries, state management , concurrency , containerization and telemetry. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Python - Python UI - Typescript Beh - Communication

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