464 Ai Techniques Jobs - Page 2

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

About the Role #JLLTechAmbitions We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

About The Role Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- CMT Software & Platforms Title :- Level 7 - Ind & Func AI Decision Science Manager Job location :- Hyderabad About S&C - Global Network:- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways.Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About the Software & Platforms Team :- The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore. WHATS IN IT FOR YOU? As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role As a Data Science Manager at Accenture, you will play a critical role in driving the development and implementation of artificial intelligence (AI) solutions focused on Generative AI and LLM for our Software & Platform clients. Your responsibilities will involve overseeing the end-to-end process of designing, building, and deploying AI-powered systems that deliver business value and enhance operational efficiency. Key Responsibilities Strategy and Planning Collaborate with clients to understand their business objectives and identify AI opportunities. Develop AI strategies and roadmaps that align with client goals and Accenture's capabilities. Conduct market research and stay updated on the latest advancements and trends in AI technologies. Project Management Lead and manage cross-functional teams for multiple projects throughout the project lifecycle. Define project scope, deliverables, timelines, and resource allocation. Ensure project milestones are achieved within budget and meet quality standards. Monitor project progress, identify risks, and develop mitigation strategies. AI Solution Design and Development Work closely with data scientists, engineers, and business analysts to design AI solutions. Identify appropriate AI algorithms and techniques to solve specific business problems. Oversee the development and testing of AI models, ensuring accuracy and reliability. Collaborate with IT teams to integrate AI solutions into existing technology ecosystems. Client Engagement and Relationship Management Build and maintain strong relationships with clients, acting as a trusted advisor. Present and communicate AI concepts, solutions, and project updates to client stakeholders. Identify upselling and cross-selling opportunities to expand client engagements. Provide guidance and support to clients in leveraging AI capabilities for business growth. Team Leadership and Development Mentor and guide a team of AI professionals, fostering a culture of innovation and excellence. Develop talent within the team, providing coaching and training as necessary. Promote collaboration and knowledge sharing across project teams and the broader organization. Qualification Job Qualifications Job Qualifications Who we are looking for? Bachelor's or Master's degree in computer science, engineering, data science, or a related quantitative field. Experience working for large Software or Platform organizations. Proven experience (7+ years) in managing AI projects and delivering successful outcomes. Hands-On exposure to Generative AI frameworks and implementations Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, etc. Familiarity with popular AI frameworks and tools (e.g., TensorFlow, PyTorch , scikit-learn). Proficiency in programming languages such as Python, R, or Java. Excellent analytical and problem-solving skills, with a data-driven mindset. Strong project management abilities, including planning, resource management, and risk assessment. Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Data Engineer 2 JLL/Technologies Centre of Expertise (JLLT CoE) (Bangalore) About JLL and JLL Technologies JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities. What this job involves #JLLTechAmbitions JLL Technologies Enterprise Data team is a newly established central organization that oversees JLLs data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey! We are looking for a Senior Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Data Engineer at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data Interfaces with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales, Finance, HR, MDM, ODS, Data Lake, & EDW Develop data & API solutions that enable non-technical staff to make data-driven decisions Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate Design and develop data lake and API solutions to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform Sounds like you To apply you need to be: Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Minimum of 3-7 years of experience as a data and API developer using Python/Nodejs, Azure Functions, Cosmos DB, Azure Event Hubs, Azure Data Lake Storage, Azure Storage Queues etc. Experience with AI technologies, including machine learning frameworks, AI/ML model deployment, and MLOps. Excellent technical, analytical and organizational skills. Effective written and verbal communication skills, including technical writing. Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc. Hands on experience with event processing and pub-sub consumption patterns. Good knowledge and exposure to Data Models, Databases like SQL Server, NoSQL Databases, Elastic Search, API management, etc. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Working experience with standard API development protocols, API gateway and tokens. Experience building and maintaining a data warehouse/ data lake in a production environment with efficient ETL design, implementation, and maintenance. Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams. What we can do for you : Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...

Data Engineer 2 JLL/Technologies Centre of Expertise (JLLT CoE) (Bangalore) About JLL and JLL Technologies JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities. What this job involves #JLLTechAmbitions JLL Technologies Enterprise Data team is a newly established central organization that oversees JLLs data strategy. We are seeking data professionals to work with our colleagues at JLL around the globe in providing solutions, developing new products, building enterprise reporting & analytics capability to reshape the business of Commercial Real Estate using the power of data and we are just getting started on that journey! We are looking for a Senior Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Data Engineer at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management processes to move the organization to a more sophisticated, agile and robust target state data architecture Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data Interfaces with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales, Finance, HR, MDM, ODS, Data Lake, & EDW Develop data & API solutions that enable non-technical staff to make data-driven decisions Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate Design and develop data lake and API solutions to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform Sounds like you To apply you need to be: Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Minimum of 3-7 years of experience as a data and API developer using Python/Nodejs, Azure Functions, Cosmos DB, Azure Event Hubs, Azure Data Lake Storage, Azure Storage Queues etc. Experience with AI technologies, including machine learning frameworks, AI/ML model deployment, and MLOps. Excellent technical, analytical and organizational skills. Effective written and verbal communication skills, including technical writing. Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc. Hands on experience with event processing and pub-sub consumption patterns. Good knowledge and exposure to Data Models, Databases like SQL Server, NoSQL Databases, Elastic Search, API management, etc. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Working experience with standard API development protocols, API gateway and tokens. Experience building and maintaining a data warehouse/ data lake in a production environment with efficient ETL design, implementation, and maintenance. Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams. What we can do for you : Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...

Responsibilities: * Conduct user research, create wireframes & prototypes. * Collaborate with cross-functional teams on UX strategy & execution. * Create intuitive designs using Figma, Adobe XD & AI techniques. Accessible workspace Work from home

Job Description Design and implement GenAI-powered solutions for enterprise use cases. Design and develop intelligent agents and autonomous workflows using agentic AI tools. Lead the integration of AI capabilities into existing platforms using Python and Java. Collaborate with cross-functional teams to define AI strategy and roadmap. Mentor junior engineers and contribute to technical leadership across the team. Evaluate and implement emerging AI technologies and frameworks. Ensure scalability, performance, and security of AI systems. Qualifications Bachelors or master’s in computer science, engineering, or related field. 7+ years of experience in AI/ML engineering or software development. Strong proficiency in Python and Java for backend and AI development. Hands-on experience with Generative AI models, LLMs, and prompt engineering. Familiarity with agentic AI tools such as GitHub Copilot, Cursor, AutoGPT, or similar. Experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Solid understanding of software engineering principles, version control (Git), and CI/CD. Proven ability to lead complex AI projects and mentor team members. Desirable experience & skills Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of autonomous agent frameworks and orchestration tools. Exposure to MLOps practices and model lifecycle management. Contributions to open-source AI projects or research publications.

Market Research Competitor Analysis Scheduling Posts on Social Media SEO Google Analytics Basics (GA4) Basic Tracking & Performance Reporting AI Tools for Marketing Support Community Building & Engagement Email & WhatsApp Marketing

You will be responsible for designing and delivering a portal web application as a Sr. Tech Lead in an agile development lifecycle. With a minimum of 8 years of experience in web application development, you should demonstrate expertise in Java, Springboot, Microservices, and Javascript Frameworks such as Angular and REACT. Cloud-based development experience is also necessary for this role. Your key responsibilities will include designing and architecting Java-based applications, leading and mentoring development teams, collaborating with stakeholders to gather requirements, developing high-quality code in Java, identifying technical debt, and staying updated with emerging technologies. You will also be involved in developing web UI pages using JavaScript frameworks, integrating with service REST APIs, and enhancing back-end components and services for improved performance. To succeed in this role, you should possess strong communication, collaboration, and problem-solving skills, along with a track record of delivering production-grade systems. Experience with agile scrum methodologies, Javascript, HTML5, CSS3, and Java development based on Microservices Patterns is essential. Proficiency in technologies like Java, Spring Framework, Spring Boot, SQL, API Integration (REST, SOAP), JSON, XML, Docker, Kubernetes, and database systems like SQL and non-SQL is required. Additionally, familiarity with enterprise solutions, Cross Cutting Concern implementation, Microservices architecture, Cloud Technologies, AI ML techniques, and application integration is beneficial. Experience with agile tools such as Atlassian JIRA, Rally, TFS, Version One, code repositories like subversion/git, and Docker is highly preferred. Exposure to web server technologies like nginx, Tomcat, and hands-on experience in leading technical teams will be advantageous. The ideal candidate will have a Bachelor's degree, a minimum of 7 years of relevant experience, and a proactive attitude towards learning and building technical solutions. Strong attention to detail, willingness for research and development, and the ability to multitask and prioritize in a complex environment are crucial for excelling in this role.,

You will work as an Product Manager to help develop a product and create an amazing learning experience that directly impacts the lives of millions of Learners across the country. WHO ARE WE LOOKING FOR? Logical bend of mind. Incessant problem solver; the tougher the problem gets, the more fun they have Strong product intuition and analytical thinking(Metrics oriented) Bias toward data-driven decision-making, combined with solid business judgment Has the ability to operate in a very fast-paced, constantly changing and evolving environment Strong customer obsession and empathy Ability to prioritize work and understand the trade-offs Execution focused - ability to infuse execution, milestone focused Above all, the candidate must have an outstanding work ethic, should be results-driven and have a strong passion to contribute to the company's vision and mission ROLES & RESPONSIBILITIES: Youll need to find ways to automate and productize solutions around course experience to improve efficiency Identify problems along the learner journey to understand and develop solutions to learners pain points Gather insights from across teams within the org and conduct external research and usability studies to understand how customers are interacting with the product and develop enhancements based on the results/analysis Continuously improve existing products and features to drive higher engagement, retention and customer delight(NPS) On an average day you’d be breaking down user problems, creating roadmaps, prioritizing with the team, running daily stand-ups, looking at customer issues, interacting with customers and collaborating with engineers, designers, operations, support team to help create value WHY NxtWave: Get a front-row seat to a high-growth, fast-paced startup Accelerated learning curve Impact millions of lives and develop role models in every nook and corner of the country Work with the founding team of NxtWave who are on a mission to transform India High transparency in decision-making Market Competitive salary Working days : 5 Location : on-site ( Hyderabad )

You will work as an Associate Product Manager to help develop a product and create an amazing learning experience that directly impacts the lives of millions of Learners across the country. WHO ARE WE LOOKING FOR ? Logical bend of mind. Incessant problem solver; the tougher the problem gets, the more fun they have Strong product intuition and analytical thinking(Metrics oriented) Bias toward data-driven decision-making, combined with solid business judgment Has the ability to operate in a very fast-paced, constantly changing and evolving environment Strong customer obsession and empathy Ability to prioritize work and understand the trade-offs Execution focused - ability to infuse execution, milestone focused Above all, the candidate must have an outstanding work ethic, should be results-driven and have a strong passion to contribute to the company's vision and mission ROLES & RESPONSIBILITIES : Youll need to find ways to automate and productize solutions around course experience to improve efficiency Identify problems along the learner journey to understand and develop solutions to learners pain points Gather insights from across teams within the org and conduct external research and usability studies to understand how customers are interacting with the product and develop enhancements based on the results/analysis Continuously improve existing products and features to drive higher engagement, retention and customer delight(NPS) On an average day you’d be breaking down user problems, creating roadmaps, prioritizing with the team, running daily stand-ups, looking at customer issues, interacting with customers and collaborating with engineers, designers, operations, support team to help create value

We are looking for a skilled MERN Stack Developer to join our team. You will be responsible for designing, developing, and maintaining web applications using MongoDB, Express.js, React.js, and Node.js , with a strong focus on building robust and scalable RESTful APIs to power our applications. We strongly value developers who have hands-on experience with modern AI-powered tools (e.g., Windsurf, Cursor,GitHub Copilot, ChatGPT, etc.) and can leverage them to improve productivity, code quality, and problem-solving efficiency. Key Responsibilities Design and develop high-performance web applications using the MERN stack . Build reusable components and front-end libraries in React.js . Develop RESTful APIs and integrate third-party services. Write optimized queries and manage databases in MongoDB . Ensure responsiveness, scalability, and cross-browser compatibility. Debug, test, and maintain applications for optimal performance. Collaborate with UI/UX designers and product managers to deliver high-quality solutions. Use AI-powered developer tools effectively for coding assistance, documentation, debugging, and project delivery. Stay updated with industry trends and best practices in full-stack and AI-assisted development. Required Skills Strong proficiency in JavaScript and TypeScript . Hands-on experience with React.js, Node.js, Express.js, and MongoDB . Knowledge of HTML5, CSS3, and responsive design principles . Experience with REST APIs, JSON, and third-party API integration . Familiarity with Git/GitHub for version control. Exposure to AI-assisted coding tools (Copilot, ChatGPT, Tabnine, etc.) . Understanding of deployment on AWS, Azure, or other cloud platforms is a plus. Qualifications Bachelors/Masters degree in Computer Science, Engineering, or a related field. Proven experience in MERN stack development.

Role & responsibilities Design & Visual Content Design high-impact visuals: social media creatives, marketing collaterals, infographics, and digital ads, Motion graphics/video editing knowledge. Maintain visual consistency across all branding touchpoints. Own the end-to-end design execution from concept to delivery. Create scroll-stopping and thumb-stopping creatives for campaigns. Branding & Creative Direction Develop and maintain brand identity systems (color palette, typography, tone). Collaborate on brand campaigns, launches, and storytelling assets. Bring emotional depth and conceptual clarity to brand messaging through design. Keep the visual language aligned with company values and future vision. Marketing & Sales Collaboration Work closely with marketing to translate campaign goals into visual strategies. Ideate creatives that drive conversions, increase engagement, and push boundaries. Create sales support assetspitch decks, case studies, product walkthroughswith strong design thinking. Partner with product and sales teams to position Theranize as a category-defining brand. Preferred candidate profile Proficiency in tools like Photoshop, Illustrator, Figma, Premiere Pro, Canva, etc. A proven track record of bringing creative energy to marketing and sales efforts. Eye for bold design, clean composition, and sharp copy-visual synergy. Strong communication skills and ability to handle multiple projects. A brand-builder's mindsetyou think emotionally, strategically, and long-term.

The Opportunity As the Global Practice Lead AI, you will lead the global strategy, development, and delivery of AI solutions centered around Nutanix Enterprise AI (NAI). This role demands deep expertise in generative AI, LLMOps, and hybrid cloud architectures, with a strong focus on operational simplicity, scalability, and enterprise-grade security. You will drive innovation, build high-performing practice team spanning across geos, and ensure successful client outcomes across industries. The Global Practice Lead for AI is expected to bring a strong foundation in deep expertise in delivering enterprise-grade AI solutions across industries especially in terms of the infrastructure needs in AI. Expertise in machine learning, deep learning, generative AI, NLP and cloud-based AI platforms with working knowledge of Kubernetes is expected. As the Global Practice Lead AI, you will be responsible for building, scaling, and leading the AI practice globally. You will define the strategic direction, develop service offerings, drive innovation, and ensure delivery excellence across engagements. This role requires deep technical expertise in AI technologies, strong business acumen, and proven leadership in managing global teams and client relationships. The role focuses on thought leadership, pre-sales, and intellectual property creation in the arena of an cloud and automation consulting practice. Additionally, the Practice contributes to the optimization of service delivery and delivery processes. You will not be managing consultant resources, the scheduling of customer delivery jobs, or the financial aspects of revenue attainment from delivery. Your Role Work with Services Product Management to develop the catalog of service offerings delivered by both Nutanix and Partner consultants. Lead the development of service SKUs, delivery toolkits, and level or effort for all products in the portfolio. Develop repeatable best practices and design guides based upon common customer experiences and solutions. Work with the Services Practice Development team to keep items current and develop training programs to enable the selling and delivery of services. Evangelize Nutanixs vison for hybrid and Enterprise Cloud and software defined datacenter. Develop yearly training plans for practice consultants and track attainment of the training goals. Review statements of work and be responsible for validating services level of effort in the pre-sales process, on AI services offerings. In larger pursuits, work Services Sales Managers and Architects to construct class-leading, complex global outcomes. Provide technical presales expertise on complex and/or custom professional services offerings and solutions. Develop customer trends and common use cases for our product and services, especially within areas of subject matter expertise. Work with Nutanix customers to understand business goals and translate them into technical solutions based upon Nutanix product. Work with Nutanix Product Managers and Enterprise Architects to create service offerings that properly map back to new and existing consulting product offerings. Working closely and foster relationships with key clients, Product Management, Product Engineering, and the Sales and SE organizational leaders. Drive and manage KPI for practice consulting attach and incremental corporate value. Lead and refine opportunity plans and grow the surface area for campaigns aligning with the corporate mission. Participate in sales and revenue forecasts, quarterback creative ways to provide customer value, and stay abreast of status/details for each campaign and opportunity where your involvement guarantees a successful outcome. Monitor practice consulting CSAT, delivery quality, and follow up with white glove service on deficient areas where necessary. Monitor practice consulting offer delivery margin and adherence to expected level of effort for standard offerings and take corrective action when necessary. Deliver Platform consulting solutions to key Clients and projects where necessary. The expected billable percentage is 20%. What You Will Bring 15+ years of experience in data driven IT services with at least 3 years AI technologies. Proven experience in practice management and delivering enterprise-grade AI solutions across multiple industries. Proven experience in deploying GenAI solutions using Kubernetes, LLM APIs, and hybrid cloud platforms. Expertise in LLMOps, model monitoring, RBAC, and secure API workflows. Familiarity with Nutanix Cloud Infrastructure, Kubernetes Platform, and Unified Storage will be a big plus. Expertise in machine learning, deep learning, generative AI, NLP, computer vision, and cloud-based AI platforms. Strong understanding of AI ethics, governance, and regulatory frameworks. Working knowledge of Kubernetes, containers, CI/CD, DevOps, and cloud platforms (AWS, Azure, GCP). Strong understanding of enterprise architecture, application modernization, and agile delivery. Excellent leadership, communication, and stakeholder management skills. Bachelors or masters degree in computer science, Engineering, or related field; certifications in AI, analytics, data, cloud-native technologies are a plus. Excellent understanding of hybrid cloud modalities, IT go-to market challenges, and business drivers that impact customer purchasing decisions Proven experience in designing AI solutions based upon customer requirements, hosted on cloud architecture in a Premier account portfolio Natural leadership abilities, ability to thrive in an independent manner combining exceptional interpersonal communication, virtual team building, and presentation skills Ability to whiteboard solutions interactively with customers and develop robust architectural documentation Ability to analyze contractual and commercial constructs of a services engagement, Enterprise Purchase Agreements (EPA), working with extended account teams in a potentially multi-vendor arrangement Strong communications skills, both verbal and written, with the ability to engage and win the confidence of C-Level executives, Geo leads, Sales Managers, Enterprise Architects and Service Delivery Managers. Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

The Senior Lead Petrophysicist will lead petrophysical evaluations across exploration, appraisal, and development wells, ensuring high-quality data acquisition and reservoir characterization. You will be responsible for advanced log interpretation, core-log integration, and applying digital/AI techniques to optimize reservoir understanding and investment decisions. Additionally, stakeholder engagement and mentoring junior professionals to drive technical excellence are key aspects of this role. Your main responsibilities will include leading petrophysical activities for various well types, designing and overseeing logging programs, conducting formation evaluation, attending rig site operations for real-time decision support, coordinating coring programs, performing field quality control of logging operations, collaborating with cross-functional teams, integrating petrophysical data with core study results and advanced logs, analyzing advanced logs for different reservoir types, evaluating petrophysical uncertainties, and engaging with various stakeholders to ensure alignment and compliance. You will also leverage machine learning and AI techniques, scout emerging technologies, evaluate investment opportunities, manage well log data systems, and mentor junior Petrophysicists. To qualify for this role, you should have a Masters degree or higher in Geophysics, a minimum of 15+ years of experience in Petrophysics within the oil & gas industry, willingness to travel offshore for rig site operations, and a proven track record in offshore exploration, appraisal, and development projects. Experience with major or international oil companies and exposure to Production Sharing Contract (PSC) environments are highly desirable. In terms of technical skills, you should be proficient in industry-standard petrophysical software, possess in-depth knowledge of logging tools and core-log-seismic integration workflows, be skilled in advanced interpretation techniques, have experience with various reservoir types, and hands-on experience in machine learning and data analytics applications in petrophysical evaluation. If you meet the qualifications and are interested in this opportunity, please email your application to enpcareers.hr@ril.com.,

Role & responsibilities Design visual assets for websites, social media (Instagram, Facebook, LinkedIn, etc.), paid ads, and marketing deliverables as needed. Develop fresh, original, and innovative design concepts rather than relying solely on templates. Ensure design consistency across all platforms while experimenting with unique creative approaches. Translate abstract ideas and campaign briefs into visually impact storytelling. Preferred candidate profile Ability to accept constructive criticism and iterate designs quickly based on feedback. Strong problem-solving mindset with the ability to balance creativity and brand guidelines. Eye for detail with a focus on delivering pixel-perfect, high-quality creatives. Good command of the English language (for clear communication with international clients). Self-driven with the ability to proactively bring unique ideas to the table. Flexibility to work on multiple projects simultaneously while meeting deadlines. Open to flexible work hours to coordinate with international clients. 5 to 6 years of graphic design experience, preferably in a digital marketing or creative agency. Proficient in Adobe Creative Suite (Photoshop, Illustrator, InDesign, etc.) . Comfortable working with tools like Canva, Gen AI, etc . Strong portfolio showcasing creativity, versatility, and execution across formats. Preferred Qualifications Bachelor's/Masters in Fine Arts/Graphic Design. Experience with Canva and Adobe Creative Suite. Must have executed campaigns for mid-to-large brands. Experience working in a digital marketing agency setup.

Your Role and Responsibilities As a Technical Support Professional, you should have experience in a customer-facing leadership capacity. This role necessitates exceptional customer relationship management skills along with a solid technical grasp of the product/s they will support. The Technical Support Professional is expected to adeptly manage conflicting priorities, thrive under pressure, and autonomously navigate tasks with minimal active guidance. The successful applicant should possess a comprehensive understanding of IBM support, development, and service processes and deliveries. Knowledge of other IBM business procedures and professional training in mediation or conflict resolution would be advantageous. Your primary responsibilities include: Direct Problem-Solving Experience:Previous experience in addressing client issues is valuable, along with a demonstrated ability to effectively resolve problems. Strong Communication Skills: Ability to communicate clearly with both internal and external clients through spoken and written channels. Business Networking ExperienceIn-depth experience and understanding of the IBM and/or OEM support organizations, facilitating effective networking and collaboration. Excellent Coordination, Leadership & Organizational Skills: Exceptional coordination and organizational abilities, capable of leading diverse teams and multitasking within a team-based business network environment. Proficiency in project management is beneficial. Excellence in Client Service & Client Satisfaction:Personal commitment to pursuing client satisfaction and continuous improvement in the delivery of client problem resolution. Language Skills: Proficiency in English is required, with fluency in multiple languages considered advantageous. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's Degree Experience5+ years Basic knowledge in Operating system administration (Windows, Linux) Basic knowledge in database administration (DB2, Oracle, MS SQL) EnglishFluent in speaking and writing Analytical thinking, structured problem-solving techniques Strong positive customer service attitude with sensitivity to client satisfaction. Must be a self-starter, quick learner, and enjoy working in a challenging, fast paced environment. Strong analytical and troubleshooting skills, including problem recreation, analyzing logs and traces, debugging complex issues to determine a course of action and recommend solutions. Preferred technical and professional experience Master's Degree in Information Technology Knowledge with OpenShift Knowledge with Apache Flink and Kafka Knowledge with Kibana Knowledge with Containerization and Kubernetes Knowledge with scripting (including Python, JavaScript) Knowledge with products of IBM's Digital Business Automation Product Family Knowledge with Process/Data Mining Knowledge with Containerization Basic knowledge of process/data mining Basic knowledge of LDAP Basic knowledge of AI technologies Fluent in speaking and writing in English Experience in Technical Support is a plus

End-to-end app development in FlutterFlow Build responsive UI and manage app logic Set up and manage Firebase Integrate APIs, webhooks & authentication Publish apps to Web, Play Store, and App Store Ensure timely delivery of production-ready apps

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Machine Learning Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Roles & Responsibilities:1. AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up to date with the latest technological advancements. Professional & Technical skills:1. Must have Skills: Knowledge of Agentic AI architecture frameworks including autonomous agents for Simulation in Manufacturing/Engineering. 2. Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., 3. Knowledge of Gen AI, VLM, LLM, Agentic AI, architecture framework including autonomous agents for Simulation in Manufacturing/Engineering. 4. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 5. Deep understanding of AI technologies, algorithms, and computational statistics. 6. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 7. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. 8. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Additional Information:1. The candidate should have a minimum of 12-16 years of experience in AI/ML field. 2. A 15 years full-time education is required. 3. This position is based at Bengaluru location. 4. Must have good communications skills and ability to manage team members. Qualification 15 years full time education

About The Role Job Title - S&C Global Network - AI - Hi Tech - Data Science Consultant Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills: Data Science 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. WHATS IN IT FOR YOU? We are seeking a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology. As a Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. What you would do in this role Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries. Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. Develop and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets. Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions. Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued. Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products. Strong proficiency in Python programming, with experience in NLP and Computer Vision. Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions. Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS. Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

About The Role Management Level:I&F Decision Science Practitioner Associate Director Job Location: Bangalore / Gurgaon / Mumbai Must-have Skills: Generative AI, Cloud Computing, Emerging Data & AI Platforms/Technologies/Trends, Data & AI Strategy Development, Business Case Development & ROI Analysis, Data Architecture & Operating Model Design, AI Strategy Execution and Governance, Stakeholder Management and Executive Communication Good-to-have Skills: Wealth Analytics (e.g., Asset Allocation, Robo Advisory, Personalization of Insights) , Responsible AI Implementation , Cross-functional Leadership on Large Transformative Deals , Ecosystem Strategy and Partner Engagement Job Summary We are seeking an experienced and visionary Ind & Func AI Value Strategy Senior Manager to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. This role involves defining and leading data and AI strategies for large transformation deals within Financial Services, working on high-impact initiatives that shape how clients adopt AI, generate value, and innovate at scale. Key Responsibilities Strategy & Execution Lead the development of robust data and AI strategies by identifying high-value business use cases and redesigning processes to unlock transformative outcomes Define current-state assessments and future-state roadmaps using tools like data diagnostics, AI maturity assessments, and business case development Deep understanding of Generative AI, cloud computing, emerging data and AI platforms/technologies/trends Masters degree in computer science, Data Science, Business Administration, or a related field. MBA degree (preferred). Proven track record of at least 12 years of experience in data and AI strategy, with a focus on driving business value through the strategic application of AI technologies. Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Excellent strategic thinking and problem-solving skills, with the ability to identify opportunities for AI-driven innovation and value creation in complex business environments. Exceptional communication and stakeholder management skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making at all levels of the organization. Professional & Technical Skills Deep understanding of Data and AI technologies, cloud platforms (AWS, Azure, GCP), and architectural principles Proven ability to drive business transformation using strategic AI tools and techniques Strong stakeholder engagement and the ability to influence decisions at senior executive levels Additional Information Excellent communication, leadership, and cross-functional collaboration skills Willingness to travel as required for client engagements (up to 40%) About Our Company | Accenture Qualification Experience: Minimum 12 years of experience in Data and AI Strategy, with a focus on driving business value through strategic AI applications Educational Qualification: Masters degree in Computer Science, Data Science, Business Administration, or a related field MBA (preferred)

Job Title: Training of Trainers (ToT) AI Domain Experts | DevOps Database | Data Quality Location: Sector 58, Noida, Uttar Pradesh Employment Type: Full-Time Working Days: Monday to Saturday Salary Range: 40,000 50,000 per month Experience Required: Minimum 3 Years (Industry and/or Training) About the Role: Are you a passionate tech expert with experience in AI-DevOps , Database Administration , or Data Quality & Governance ? Join us as a Training of Trainers (ToT) Specialist , where you will empower future vocational trainers with hands-on, industry-aligned skills in high-demand AI-integrated roles. This opportunity is ideal for professionals with both industry expertise and training capability , looking to make a large-scale impact through structured ToT programs under NASSCOM and NSQF frameworks. Open Specializations (Choose based on your background): 1. AI-DevOps Trainer Train on AI-infused DevOps practices including: Machine Learning pipelines and model deployment CI/CD tools: Git, Jenkins, Docker, Kubernetes Cloud platforms: AWS, Azure, GCP (automation, monitoring, scaling) 2. AI-Database Administrator Trainer Prepare trainers in: Relational and NoSQL database architecture SQL, PL/SQL, T-SQL, query optimization, indexing AI-driven performance tuning, automation, and cloud DB operations 3. AI-Data Quality Analyst Trainer Build trainer skills in: Data profiling, validation, and cleansing ETL processes and data governance (DAMA, CDMP standards) AI/ML for data anomaly detection and predictive quality management Top 3 Requirements (No Overlap): Educational Background: Bachelors or Master’s degree in Computer Science, IT, Data Science, or a related technical discipline. Certifications (Preferred): NASSCOM ToT Certified (Level 1 or 2) Any of: Oracle DBA, AWS DevOps Engineer, Microsoft AI Engineer, DAMA/CDMP, etc. Recognized AI/ML certifications (e.g., Microsoft, IBM, Coursera) Professional Experience: Minimum 3 years of domain experience in: AI-DevOps or Cloud Automation Database Administration (SQL/NoSQL/Cloud) Data Quality Management & AI-based data analysis Prior training, mentoring, or instructional experience is a major advantage. Why Join Us? Contribute to India's digital skills mission by training future tech trainers Work with NASSCOM-aligned frameworks and NSQF Level certifications Collaborate with tech-forward, impact-driven professionals in a structured ecosystem Role & responsibilities Interested Candidates kindly please do reach out to : Sumanth Chinni - Hr Recruiter sumanth.chinni@lyrostech.com +91 9849345715

About the Role: Grade Level (for internal use): 10 The Role: Foreseer AI Data Scientist III The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 8+ Years. 4+ years hands on experience in AI/ML, Data Science or Technology Strategy Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front-End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- , SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Role: Foreseer AI Lead The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 10+ Years. 6+ years hands on experience in AI/ML, Data Science or Technology Strategy 3+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Container orchestration systems, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About Profile We are a forward-thinking team focused on leveraging the power of artificial intelligence to redefine creative design. We are looking for an experienced AI Graphic Designer who combines artistic vision with cutting-edge technology to produce outstanding visual content across digital platforms. Key Responsibilities • Create and enhance high-quality designs using AI tools such as Nano Banana, Gemini, DALL•E, Adobe Firefly, Midjourney etc. • Develop graphics for ad campaigns, social media, brand identity, and digital assets • Experiment with styles, prompts, and outputs to deliver creative and brand-aligned designs • Collaborate with marketing, content, and product teams to ensure visual consistency and effectiveness • Optimize AI-generated designs to meet project objectives, deadlines, and quality standards • Stay up-to-date with AI design trends, tools, and best practices, and share knowledge with the team • Manage multiple projects simultaneously while maintaining attention to detail. Qualifications & Skills • Minimum 2 years of experience in graphic design, with hands-on work using AI tools. • Strong portfolio showcasing AI-assisted designs and creative problem-solving. • Expertise in prompt engineering and image enhancement techniques. • Solid understanding of design principles: typography, color theory, layout, and branding. • Creative thinker with a passion for innovation and experimentation.