1435 Generative Ai Jobs - Page 6

As a Decision Science Specialist within the Accenture Strategy & Consulting Global Network Data & AI team, specializing in the Insurance practice, you will play a crucial role in helping our clients revolutionize their business operations. From conceptualization to implementation, you will collaborate with Property & Casualty insurers, Life & Retirement insurers, reinsurers, and brokers throughout the value chain. Your primary focus will be on enhancing analytic capabilities, ranging from data access and reporting to predictive modeling and Generative AI, to ensure that our clients stay ahead of the competition. The Accenture Global Network is a dynamic environment that seamlessly integrates Strategy & Consulting with Data and Artificial Intelligence, driving innovation and growth. You will have the opportunity to be part of a diverse and global community that continuously pushes the boundaries of business capabilities. Accenture's commitment to individual development and growth is unwavering, providing you with a supportive environment for learning and advancement. In this role, your responsibilities will include collaborating with the team to design, develop, deploy, and monitor advanced analytics models, leveraging cutting-edge technologies such as Generative AI. You will be instrumental in building functional aspects of Generative AI pipelines, optimizing system performance, and ensuring seamless data retrieval and storage. Additionally, you will engage with clients and account teams to identify engineering and business challenges, translating them into actionable analytics problems that drive operational enhancements and strategic insights. Your ability to synthesize data from diverse sources and present actionable insights in a clear and concise manner will be pivotal in facilitating informed decision-making for both technical and non-technical stakeholders. By harnessing your expertise in AI/ML tools and techniques, coupled with strong domain knowledge in the insurance sector, you will contribute significantly to delivering exceptional value to our clients. Join us on this exciting journey at Accenture, where you will be at the forefront of driving innovation, shaping the future of business, and making a tangible impact on our clients" success.,

The Data Intelligence team is searching for an experienced Product Manager to join the SabreMosaic program in order to revolutionize the airline IT industry by transitioning to modern retailing concepts. This transition involves moving away from existing structures towards the development of retail Offers that can be booked as Orders with intelligence and insights driven by data. The primary focus of the Data Intelligence team includes integrating Retail Intelligence products into Offers and Orders (O/O), expanding the Experimentation Framework into a platform for Airline IT and Distribution customers, designing Machine Learning (ML) models for O/O optimization, personalization, and enhanced user experience, leveraging Generative AI advancements to create new intelligent tools and channels, and working on Data & Analytics. The ultimate goal is to prepare airlines for the O/O world, helping them harness the full potential of SabreMosaic, and enabling them to make informed business decisions based on data-driven insights and predictions. As the Product Manager for Data Intelligence, you will be responsible for setting the vision and strategy for key competitive differentiators, focusing on business questions related to Offers and Orders that can be quantified and answered through metrics. You will collaborate with data engineering and data science team members to oversee solutioning and data workflow designs for O/O SabreMosaic, Radixx, and SabreSonic customers. Additionally, you will plan the evolution of the Experimentation Framework and transform insights from ML models into actionable products to assist airlines in becoming more innovative retailers. **Role Responsibilities:** - Drive product vision and strategy to provide value to customers. - Become the subject-matter expert (SME) on Data Intelligence and fully embrace the O/O paradigms. - Collaborate closely with Architecture and Product partners to define business requirements and success metrics. - Conduct research and analysis on customer segments, major pain points, new feature requirements, and opportunities to enhance existing products. - Initiate and convert the product roadmap into a manageable product backlog for development. - Lead capability kick-off and refinement sessions in conjunction with development teams. - Develop User Stories, Acceptance Criteria, and test cases based on business requirements. - Accept/sign-off team stories upon completion. - Present outcomes to program-level stakeholders and customers. - Support marketing efforts with go-to-market materials and assist operations in product support. - Educate the sales team on the product's value proposition and gather feedback on the product and market competition. **Preferred Qualifications:** - Bachelor's degree or equivalent. - Previous experience as a Product Manager, TPM, Business Analyst, or Product Owner. - Knowledge of Cloud and Data domains. - Curiosity and enthusiasm for investigating problem spaces. - Excellent written and verbal communication skills in English with the ability to engage with internal and external stakeholders. - Strong technical aptitude to comprehend proposed solutions and collaborate effectively with technology partners across teams. - Proficiency in agile development and lean product marketing principles. - Comfortable with uncertainty, willing to make decisions, embrace failure as a learning opportunity, and take accountability for all outcomes.,

As a software engineer at Google, you will be responsible for developing the next-generation technologies that impact how billions of users connect, explore, and interact with information. Your role will involve working on critical projects essential to Google's needs, with the opportunity to switch teams and projects as the business evolves. We are looking for engineers who can bring fresh ideas from various areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. Your primary responsibilities will include managing project priorities, deadlines, and deliverables, designing, developing, testing, deploying, maintaining, and enhancing software solutions. You will write product or system development code, participate in design reviews, review code developed by peers, contribute to documentation, and triage product or system issues. Minimum qualifications for this role include a Bachelor's degree or equivalent practical experience, 2 years of experience with software development in one or more programming languages, 2 years of experience with machine learning algorithms and tools, experience in Generative AI, and proficiency in C++ and Python programming. Preferred qualifications include experience with data structures or algorithms, the ML stack, productionizing ML models, collaboration within teams, and building applications with new technology. At YouTube, we believe in giving everyone a voice and building a community through storytelling. Working at the intersection of technology and creativity, we move at the speed of culture with a shared goal to show people the world. As part of our team, you will explore new ideas, solve real problems, and have fun together. If you are enthusiastic, versatile, and display leadership qualities, while being eager to tackle new challenges across the full-stack, we encourage you to apply and join us in pushing technology forward.,

You have an exciting opportunity to join Accenture as a Senior Manager in the S&C GN - Tech Strategy- AI / Gen AI Strategy team based in Bengaluru, BDC7A. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging your industry expertise to create value-driven solutions. As a Senior Manager, you will develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities to enhance business efficiency. You will be part of the Technology Strategy & Advisory Practice within Accenture Strategy, focusing on clients" most strategic priorities and helping them achieve growth and efficiency through innovative R&D transformation using agile methodologies. Your role will involve assessing AI potential, developing use cases for business transformation, designing proof of concepts and high-level solutions using AI or Gen AI analytics, and formulating guiding principles and components to impact clients" technology landscape. You will evaluate existing AI & Gen AI products and frameworks to develop options for proposed solutions. To excel in this role, you should leverage your knowledge of technology trends across Data and AI, interact with client stakeholders to understand their AI problems, and define problem statements and engagement scopes. You will guide the development of Enterprise-wide AI & Gen AI strategies for clients, collaborate with business experts, platform engineers, and technology teams, and engage in meaningful discussions with clients to drive the right recommendations. Moreover, you will benchmark against global research benchmarks, conduct discovery workshops and design sessions, and utilize expertise in AI Cloud platforms such as Google, Azure, or AWS. You will also be responsible for creating expert content, managing budgeting and forecasting activities, and building financial proposals. By joining Accenture, you will have the opportunity to work on transformative projects with key G2000 clients, co-create with industry experts, and develop your skills through personalized training modules. Furthermore, you will be part of a culture committed to accelerating equality and engaging in boundaryless collaboration across the organization. To be successful in this role, you should have relevant experience in the required domain, strong analytical and problem-solving skills, and the ability to work in a fast-paced, dynamic environment. Additionally, you should possess a deep understanding of AI concepts, expertise in Responsible AI frameworks, and experience in leading or managing large teams effectively. If you have a passion for technology, data, and business transformation, and want to work on innovative projects with opportunities for career growth and leadership exposure, then this role at Accenture is the perfect fit for you.,

Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group. We are a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. As a Technical Project Manager with expertise on the Microsoft technology stack (including .NET, SQL Server, Azure, Generative AI, and Power Platform) and 10 to 15 years of experience, your role involves working with clients and internal stakeholders to plan and implement projects. You will be responsible for managing timelines, scope, budget, and resourcing, tracking project deliverables and performance, and developing comprehensive project plans. Additionally, you will collaborate with clients and stakeholders, write technical documents, create presentations and reports, and work with Agile methodology to execute sprints effectively. Your profile includes developing high-level and low-level product specifications, leading proof of concepts (POCs), communicating designs and concepts to the development team, overseeing team progress, providing technical guidance, ensuring software quality, and demonstrating advanced knowledge of development methodologies, software design patterns, and integration standards. You will lead a team of developers, take ownership of their work, and ensure quality releases for highly scalable systems. Flexibility to work in a fast-paced 24x7 environment and various shifts is required, and having PMP certification is a plus. At Capgemini, we value flexible work arrangements, career growth opportunities, and certifications in the latest technologies. We are a global business and technology transformation partner with a diverse team of 340,000 members in over 50 countries. With a strong heritage of over 55 years, we are trusted by clients to unlock the value of technology and address their business needs through end-to-end services and solutions. Our capabilities in AI, cloud, and data, combined with deep industry expertise, enable us to create tangible impact for enterprises and society. Join us at Capgemini to accelerate the transition to a digital and sustainable world while exploring a world of opportunities and fostering a healthy work-life balance.,

Are you looking for an exciting opportunity to solve large-scale business problems using Generative AI Join our dynamic team to tackle challenges using Generative AI in the Wholesale Credit Risk Quantitative Research Applied AI/ML team. You will play a crucial role in developing innovative AI solutions that leverage the firm's extensive data resources. Your primary focus will be on creating tools based on Large Language Models (LLMs) to enhance the End-to-End credit risk process across Wholesale. This role presents an exciting opportunity to innovate and have a significant impact on credit risk management. If you are passionate about AI and enthusiastic about working on cutting-edge solutions, we encourage you to apply. Your responsibilities will include: - Developing and implementing AI solutions to address business challenges. - Collaborating with cross-functional teams to translate requirements into technical solutions. - Formulating risk strategies to enhance risk monitoring using diverse data sources. - Managing the full lifecycle from Proof of Concept to production-ready solutions, including stakeholder presentations and post-implementation monitoring. - Ensuring the performance and reliability of deployed solutions. - Staying informed on the latest AI/ML advancements. - Leading the development and rapid deployment of AI solutions influenced by macro-economic factors and current events. Qualifications, Skills, and Experience required: - Advanced degree in Data Science, Computer Science, Engineering, Mathematics, or Statistics. - Minimum of 5 years of experience in applied AI/ML. - Strong understanding and practical experience with Machine Learning; expertise in LLM/NLP is highly preferred. - Proficiency in modern analytic and data tools, especially Python/Anaconda, TensorFlow, Keras/PyTorch, Spark, and SQL. Cloud experience is a plus. - Experience in model implementation and production deployment is preferred. If you possess excellent problem-solving, communication, and leadership skills, and are eager to contribute to the advancement of AI solutions in credit risk management, we look forward to reviewing your application.,

As a Manager, ML Ops Engineer at Genpact, you will be an integral part of the team responsible for building and maintaining the infrastructure and pipelines for cutting-edge Generative AI applications. Your role will involve collaborating closely with the Generative AI Full Stack Architect to ensure the efficiency, scalability, and reliability of Generative AI models in production. Your responsibilities will include designing, developing, and implementing ML/LLM pipelines for generative AI models, conducting research to explore new techniques, integrating GenAI APIs and microservices into existing systems, and automating ML tasks across the model lifecycle using tools like GitOps, CI/CD pipelines, and containerization technologies. Furthermore, you will be involved in MLOps support and maintenance on ML platforms Dataiku/Sagemaker, implementing version control, CI/CD pipelines, and containerization techniques, designing monitoring and alerting systems, and collaborating with infrastructure and DevOps teams for resource management. To qualify for this role, you should have a Bachelor's degree in computer science, Data Science, Engineering, or a related field, along with a deep understanding of generative AI concepts and experience in MLOps or related areas. Strong expertise in cloud platforms, CI/CD principles, containerization technologies, and monitoring tools is essential. Excellent communication, collaboration, and problem-solving skills are also required, along with a passion for Generative AI and its potential to transform industries. If you are looking to join a dynamic team at Genpact and contribute to the advancement of Generative AI technologies, we encourage you to apply for the Manager, ML Ops Engineer position in India-Bangalore. This is a full-time role with the opportunity to work on cutting-edge projects and make a significant impact in the field of AI. Join us on this exciting journey to shape the future with your expertise in ML Ops and Generative AI!,

At Capgemini Engineering, the global leader in engineering services, you will be part of a diverse team of engineers, scientists, and architects dedicated to empowering the world's most innovative companies. From groundbreaking technologies like autonomous cars to life-saving robots, our digital and software technology experts are constantly pushing boundaries to provide exceptional R&D and engineering services across various industries. Join us and embark on a career filled with endless opportunities, where each day offers new challenges and opportunities for growth. In this role, you will be responsible for developing and implementing engineering practices and knowledge to define, configure, and deploy industrial digital technologies, such as PLM and MES. Your main focus will be on ensuring the seamless flow of information across the engineering enterprise, encompassing design, industrialization, manufacturing, and the supply chain, as well as managing manufacturing data effectively. As you progress in your role, you will specialize in Digital Continuity and Manufacturing, building expertise in your area and sharing knowledge with your peers. You will be adept at interpreting clients" needs, working independently or with minimal supervision, and identifying and resolving issues in a straightforward manner. Collaboration is key, as you will actively contribute to team efforts and engage with customers to deliver exceptional results. Capgemini is a global business and technology transformation partner committed to helping organizations navigate the shift towards a digital and sustainable world. With a workforce of over 340,000 team members across 50 countries, we are dedicated to creating tangible impact for enterprises and society. With a rich history spanning more than 55 years, Capgemini is known for its ability to unlock the full potential of technology to meet diverse business requirements. Our comprehensive range of services and solutions, from strategy and design to engineering, is supported by cutting-edge capabilities in AI, generative AI, cloud, and data, as well as deep industry knowledge and a robust partner network.,

reetings from the HCL TECH! HCL is hiring for Gen AI Engineer now For Banglore/Hyderabad/Chennai/Noida/Pune Location. If you are interested for the below given JD. Kindly share your updated CV & Following details on [HIDDEN TEXT] Details : Total Exp.: Relevant Exp in Gen AI: Exp in LLM - Exp Cloud - Exp in Generative AI Solution Exp In AIML - Notice Period : Current Company : Current CTC : Expected CTC: Current Location Preferred Location : Contact Details Qualifications Bachelors degree or above in Computer Science, Software Engineering or similar disciplines Ability to learn new domains quickly Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Generative AI oriented Experience with atleast one cloud technologies: Azure, AWS, GCP Understanding of good design principles and patterns Solid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and problem-solving skills. Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Self-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly. Hands-on of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools. Strong in Object Oriented Programming Concepts. Good in debugging and analytical skills. Work Experience Experience in software development: 5+ years Experience in Generative AI solution development: 1+ year Show more Show less

Join Vonage and help us innovate cloud communications for businesses worldwide! Vonage BI & Data Team Mission We are a highly creative, energetic and results-oriented team that owns data and analytics delivery for the entire organization. This starts from data ingestion to corporate dashboards and includes data analytics to drive actions. The successful candidate is passionate about understanding customer needs, motivations, and behavior and enjoys discovering insights that help us deliver better outcomes like revenue growth, better customer experience, customer engagement and customer retention. Why This Role Matters As a Senior Data Analyst, you will be responsible for transforming complex datasets into actionable insights that drive business strategy and decision making. You will bridge the gap between the raw data and impactful business intelligence, playing a vital role in identifying trends, optimizing processes, and supporting key stakeholders across various departments. As a Senior Data Analyst, you will also be helping us on a journey towards a modern, self-serve analytics organization. You will get autonomy and ownership around large parts of how we interface with users, how theyre trained and around defining the boundary between let me show you how to do this yourself and let me do this for you. Over the last couple of years, weve made significant investments into our data infrastructure and our data processing platform. This has improved the internal team processes, however, there is still room for improvement on enabling self-serve and using advanced analytics techniques to predict what will happen rather than what happened. Your Key Responsibilities Collaborate with cross-functional teams (e.g., Finance, Product, Customer Experience, Marketing) to align data initiatives with business goals and challenges. Develop strategies and insights to drive customer revenue growth and enhance the overall customer experience. Utilize advanced analytics, including predictive modeling and data mining, to identify patterns, forecast trends, and support target achievement. Translate complex data analyses into clear, actionable reports and presentations for both technical and non-technical stakeholders. Lead and advocate for self-service analytics across the organization, including managing relationships with data power users. Coordinate and promote the internal Data Academy to empower teams to better understand and leverage available data and reporting tools. Contribute to data strategy and planning by assisting in budget alignment and ensuring BI and data engineering efforts meet stakeholder needs and priorities. Were specifically not looking for someone to churn out reports for other people all day long. Self-service analytics environment Were using a modern analytics stack with Tableau as the visualization front-end and Snowflake as the DWH, where the majority of report development is done by our users, we also use Python, SQL and Airflow Rather than a report mill, the BI & Data team is there to empower and help users get their data and analytics work done themselves Going forward, we are looking to transition to querying the data using natural language. Required What you will bring: Bachelor&aposs degree (preferably in Business, Economics, Statistics, or Computer Science) with 5+ years of experience in data analytics, ideally in a SaaS environment; advanced degrees (MBA or Master&aposs in Financial Analytics, Data Science, etc.) are a plus. Proven experience working independently and collaboratively with a wide range of stakeholders, including senior leadership. Expertise in analytical and statistical techniques, including forecasting, attribution modeling, simulation, and data optimization. Proficient in SQL, data warehousing, and data integration tools; familiarity with Python or R is a plus. Knowledge of machine learning, Generative AI (GenAI), and Agentic AI is a plus. Skilled in using BI tools such as Tableau to visualize and communicate data insights effectively. Strong communication, problem-solving, and critical thinking skills, with the ability to explain complex data to non-technical audiences and work well in cross-functional teams. Experience We Consider a Plus Have experience driving self-service analytics adoption in a scalable way. Worked in an agile environment and were able to bring structure where there was none before. How Youll Benefit In addition to providing exciting work, career advancement opportunities, and a collaborative work environment, Vonage provides competitive pay and benefits including unlimited discretionary time off. Theres no perfect candidate. You don&apost need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you&aposre passionate about what you could achieve at Vonage, we&aposd love to hear from you. Who We Are Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate Then join us today. Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location. Show more Show less

We are seeking an experienced AI Data Analyst with over 7 years of professional experience, showcasing leadership in tech projects. The ideal candidate will possess a strong proficiency in Python, Machine Learning, AI APIs, and Large Language Models (LLMs). You will have the opportunity to work on cutting-edge AI solutions, including vector-based search and data-driven business insights. Your experience should include: - At least 2 years of hands-on experience as a Data Analyst. - Practical experience of at least 1 year with AI systems such as LLMs, AI APIs, or vector-based search. - 2+ years of experience working with Machine Learning models and solutions. - Strong background of 5+ years in Python programming. - Exposure to vector databases like pgvector and ChromaDB is considered a plus. Key Responsibilities: - Conduct data exploration, profiling, and cleaning on large datasets. - Design, implement, and evaluate machine learning and AI models to address business problems. - Utilize LLM APIs, foundation models, and vector databases to support AI-driven analysis. - Construct end-to-end ML workflows starting from data preprocessing to deployment. - Develop visualizations and dashboards for internal reports and presentations. - Analyze and interpret model outputs, providing actionable insights to stakeholders. - Collaborate with engineering and product teams to implement AI solutions across business processes. Required Skills: Data Analysis: - Work with real-world datasets hands-on for at least 1 year. - Proficiency in Exploratory Data Analysis (EDA), data wrangling, and visualization using tools like Pandas, Seaborn, or Plotly. Machine Learning & AI: - Apply machine learning techniques for at least 2 years (classification, regression, clustering, etc.). - Hands-on experience with AI technologies such as Generative AI, LLMs, AI APIs (e.g., OpenAI, Hugging Face), and vector-based search systems. - Knowledge of model evaluation, hyperparameter tuning, and model selection. - Exposure to AI-driven analysis, including RAG (Retrieval-Augmented Generation) and other AI solution architectures. Programming: - Proficiency in Python programming for at least 3 years, with expertise in libraries like scikit-learn, NumPy, Pandas, etc. - Strong understanding of data structures and algorithms relevant to AI and ML. Tools & Technologies: - Proficiency in SQL/PostgreSQL. - Familiarity with vector databases like pgvector, ChromaDB. - Exposure to LLMs, foundation models, RAG systems, and embedding techniques. - Familiarity with cloud platforms such as AWS, SageMaker, or similar. - Knowledge of version control systems (e.g., Git), REST APIs, and Linux. Good to Have: - Experience with tools like Scrapy, SpaCy, or OpenCV. - Knowledge of MLOps, model deployment, and CI/CD pipelines. - Familiarity with deep learning frameworks like PyTorch or TensorFlow. Soft Skills: - Possess a strong problem-solving mindset and analytical thinking. - Excellent communication skills, able to convey technical information clearly to non-technical stakeholders. - Collaborative, proactive, and self-driven in a fast-paced, dynamic environment. If you meet the above requirements and are eager to contribute to a dynamic team, share your resume with kajal.uklekar@arrkgroup.com. We look forward to welcoming you to our team in Mahape, Navi Mumbai for a hybrid work arrangement. Immediate joiners are preferred.,

As a Python Developer specializing in Generative AI, you will play a key role in designing, developing, and deploying intelligent AI-powered systems during the night shift in Bangalore. Your primary responsibility will involve building and maintaining Python-based APIs and backends integrated with cutting-edge Generative AI models. You will collaborate with global teams to implement prompt engineering, fine-tuning, and model deployment pipelines using tools such as GPT, Claude, LLaMA, DALLE, and Stable Diffusion. Your expertise in PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API will be crucial in optimizing model performance for latency, accuracy, and scalability. Additionally, you will deploy models using FastAPI, Flask, Docker, or cloud platforms while ensuring thorough testing, monitoring, and documentation of AI integrations. To excel in this role, you should possess at least 4 years of Python development experience along with 1 year of hands-on experience with Generative AI tools and models. Familiarity with vector databases such as FAISS, Pinecone, and Weaviate is also desirable. Exposure to GPU-based training or inference, MLOps tools like MLflow, Airflow, or Kubeflow, and a strong understanding of AI ethics, model safety, and bias mitigation are considered advantageous. This full-time, permanent position offers health insurance, Provident Fund benefits, and requires working in person during the night shift. If you are passionate about leveraging AI to address real-world challenges and thrive in a fast-paced environment, we encourage you to apply and contribute to innovative GenAI and ML projects.,

You will collaborate with business, platform, and technology stakeholders to understand the scope of projects. Your role will involve performing comprehensive exploratory data analysis at various levels of granularity to derive inferences for further solutioning, experimentation, and evaluation. You will design, develop, and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, and other relevant technologies. It will be essential to continuously focus on providing business value while ensuring technical sustainability. Additionally, you will promote and drive adoption of cutting-edge data science and AI practices within the team while staying up to date on relevant technologies to propel the team forward. We are seeking a team player with 4-7 years of experience in the field of data science and AI. The ideal candidate will have proficiency in programming/querying languages like Python, SQL, PySpark, and familiarity with Azure cloud platform tools such as Databricks, ADF, Synapse, Web App, among others. You should possess strong work experience in text analytics, NLP, and Generative AI, showcasing a scientific and analytical thinking mindset comfortable with brainstorming and ideation. A deep interest in driving business outcomes through AI/ML is crucial, alongside a bachelor's or master's degree in engineering or computer science with or without a specialization in the field of AI/ML. Strong business acumen and the desire to collaborate with business teams to solve problems are highly valued. Prior understanding of the business domain of shipping and logistics is considered advantageous. Should you require any adjustments during the application and hiring process, we are happy to support you. For special assistance or accommodations to use our website, apply for a position, or perform a job, please contact us at accommodationrequests@maersk.com.,

As an Assistant Vice President Generative AI Systems Architect, you will leverage your 12+ years of experience to architect and design end-to-end systems for production-grade Generative AI applications. This includes creating systems for LLM-based chatbots, copilots, and content generation tools. Your responsibilities will involve defining system architecture for data ingestion, model training/fine-tuning, inferencing, and deployment pipelines. It is essential to establish architectural tenets such as modularity, scalability, reliability, observability, and maintainability. Collaboration plays a crucial role in this role, as you will work closely with data scientists, ML engineers, platform engineers, and product managers to ensure that the architecture aligns with both business objectives and AI goals. Your tasks will include choosing and integrating foundation models, evaluating solutions based on various architecture patterns, and designing secure and compliant architectures for enterprise settings, focusing on data governance, auditability, and access control. Additionally, you will lead system design reviews, define non-functional requirements (NFRs) like latency, availability, throughput, and cost, and collaborate with MLOps teams to establish CI/CD processes for model and system updates. Your contribution to creating reference architectures, design templates, and reusable components will be valuable in driving efficiency and consistency across projects. To excel in this role, it is important to stay updated with the latest advancements in GenAI, system design patterns, and AI platform tooling. Your role as an Assistant Vice President Generative AI Systems Architect will be dynamic and impactful, contributing significantly to the advancement and implementation of cutting-edge AI technologies.,

As a Numerical Modelling & Programming specialist, you will be responsible for developing, implementing, and optimizing numerical algorithms within various software platforms for mining applications. Your role will involve writing and maintaining efficient, scalable code in languages such as C++, Python, and FISH, customized to geotechnical and rock mechanics modelling workflows. Additionally, you will be expected to customize and extend functionalities of tools like FLAC/FLAC3D, UDEC/3DEC, and other geomechanical software through scripting and API integration. Your duties will also include designing and deploying coding solutions to automate repetitive tasks, thereby enhancing efficiency across engineering workflows. You will need to identify and implement opportunities for process automation, contributing to resource optimization and improved modelling productivity. Collaboration with engineers, geologists, and technical leads is crucial to understand project requirements and translate them into software-based solutions. Moreover, integrating developed scripts and automation routines into existing platforms and project workflows will be part of your responsibilities. Quality assurance plays a significant role in your job profile, where conducting rigorous testing and validation of numerical models and coding deliverables is essential to ensure technical reliability and robustness. Participation in peer code reviews and contribution to the establishment and enforcement of coding best practices and standards will be expected from you. Staying current with industry trends in numerical modelling, simulation, and automation is crucial. You will be required to contribute to innovation by researching and applying new technologies like machine learning, generative AI, and image recognition to tackle mining challenges effectively. In terms of mandatory skills, excellent verbal and written communication in English is necessary. Strong programming proficiency in C++, Python, and FISH is also a must. A solid foundation in computer science, information technology, or engineering (mining/geotechnical preferred) is expected, along with the willingness and ability to learn new programming languages and software tools. Desired skills for this role include prior experience with mining or geotechnical modelling software, exposure to automation and scripting in engineering applications, familiarity with machine learning algorithms, generative AI, and image recognition technologies, and a proven ability to innovate and challenge conventional approaches in a technical environment. To be eligible for this position, you should possess a Bachelor's or higher degree in Computer Science, Software Engineering, or a related field. Additionally, you should have 7-10 years of experience in programming, ideally in support of mining or geotechnical applications, with demonstrated experience in coding for finite difference and discrete element methods, particularly in mining/civil engineering contexts.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

The ideal candidate for this role will be responsible for providing technical leadership on high-impact projects and guiding a distributed team of engineers. You will play a crucial role in aligning teams on goals, outcomes, and timelines, while effectively managing project priorities, deadlines, and deliverables. Your duties will include designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. In this position, you will collaborate closely with Research teams and ML practitioners to create and refine engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, user interfaces, and support user adoption. You will be expected to leverage your expertise in software development, data structures, algorithms, testing, software design, architecture, front-end frameworks, full-stack development, and API development. The qualifications and education requirements for this role include a Bachelor's degree or equivalent practical experience, along with 8 years of experience in software development and data structures/algorithms. Additionally, you should have 5 years of experience in testing, launching software products, and 3 years of experience in software design and architecture. Proficiency in front-end frameworks, full-stack development, or API development is essential, as well as experience with machine learning algorithms, tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines. Familiarity with Generative AI, such as Large Language Models, Multi-Modal, and Large Vision Models, is also preferred. Preferred skills for this role include a Master's degree or PhD in Engineering, Computer Science, or a related technical field. It is desirable to have 3 years of experience in a technical leadership role, leading project teams and setting technical direction. Experience working in a complex, matrixed organization involving cross-functional or cross-business projects for at least 3 years would be advantageous.,

Join the Agentforce team in AI Cloud at Salesforce and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team comprised of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon Agentforce, our cutting edge new AI framework. We value execution, clear communication, feedback and making learning fun. Your impact - You will: Architect, design, implement, test, and deliver highly scalable AI solutions: Agents, AI Copilots/assistants, Chatbots, AI Planners, RAG solutions. Be accountable for defining and driving software architecture and enterprise capabilities (scalability, fault tolerance, extensibility, maintainability, etc.) Independently design sophisticated software systems for high-end solutions, while working in a consultative fashion with other senior engineers and architects in AI Cloud and across the company Determine overall architectural principles, frameworks, and standards to craft vision and roadmaps Analyze and provide feedback on product strategy and technical feasibility Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Actively communicate with, encourage and motivate all levels of staff. Be a subject matter expert for multiple products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements Troubleshoot complex production issues and interface with support and customers as needed Drives long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events Required Skills: 12+ years of experience in building highly scalable Software-as-a-Service applications/platform Experience building technical architectures that address complex performance issues Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity. Innovation/startup mindset to be able to adapt Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language, preferably Java Proven ability to mentor team members to support their understanding and growth of software engineering architecture concepts and aid in their technical development High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.) Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax Data model design, database technologies (RDBMS & NoSQL), and languages such as SQL and PL/SQL Experience delivering or partnering with teams that ship AI products at high scale. Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium Demonstrated ability to drive long-term design strategies that span multiple complex projects Experience delivering technical reports and presentations to customers and at industry events Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues Experience with the full software lifecycle in highly agile and ambiguous environments Excellent interpersonal and communication skills. Preferred Skills: Solid experience in API development, API lifecycle management, and/or client SDKs development Experience with machine learning or cloud technology platforms like AWS SageMaker, Terraform, Spinnaker, EKS, GKE Experience with AI/ML and Data science, including Predictive and Generative AI Experience with data engineering, data pipelines or distributed systems Experience with continuous integration (CI) and continuous deployment (CD), and service ownership Familiarity with Salesforce APIs and technologies Ability to support/resolve production customer escalations with excellent debugging and problem-solving skills,

As a Decision Science Specialist with Accenture Strategy & Consulting, Global Network Data & AI Practice focusing on Insurance, you will play a crucial role in helping clients transform their businesses through advanced analytics models, including Generative AI. You will collaborate with the team to architect, design, build, deploy, deliver, and monitor these models to address various client challenges effectively. Your responsibilities will include developing the functional aspects of Generative AI pipelines, implementing information retrieval and storage techniques, and optimizing systems across cloud platforms like Azure or AWS. You will engage with clients and account teams to comprehend engineering and business issues, translating them into analytics problems that provide actionable insights and operational enhancements. Furthermore, you will be tasked with extracting data from multiple sources and presenting relevant information in a clear and concise manner. Your ability to deliver valuable insights to both technical and non-technical audiences will be instrumental in driving business impact and fostering strategic decision-making. Joining Accenture's Global Network offers you the opportunity to be part of a dynamic and diverse community that continuously pushes the boundaries of business capabilities. With a focus on learning and growth, Accenture is committed to providing a stimulating work environment where you can thrive professionally. Additionally, being ranked 10th on the 2023 World's Best Workplaces list underscores Accenture's reputation as an excellent employer, making it an ideal place for you to advance your career.,

Introduction: Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company At Poppulo, were working on whats next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.? And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs. We know theres no such thing as a perfect" candidate - were all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you dont meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. The Opportunity We are looking for a Principal Software Engineer to join our Data Integrations team. You&aposll help transition our robust C#/.NET Integration Framework to a modern web stack, aligning with our cloud-based technology approach. This role focuses on creating scalable integration solutions enabling customers to seamlessly connect and transform data from diverse third-party systems. A strong interest in or experience with AI, including Large Language Models (LLMs), generative AI, or agentic coding tools, is highly desirable. Key Responsibilities: Drive the migration and modernization of existing C#/.NET-based integration services to a contemporary web stack (TypeScript, NodeJS, React). Develop, maintain, and enhance scalable integrations and APIs to facilitate seamless third-party data exchange. Collaborate with product managers, architects, and frontend/backend engineers to ensure cohesive system functionality. Design and build robust data adapters and integration components (Listeners, Actions, Endpoints). Identify and implement performance improvements and optimization strategies for high data throughput. Mentor team members, ensuring adherence to best practices in software development and architecture. Participate actively in agile processes and foster a collaborative and innovative team culture. Integrate and experiment with AI technologies, leveraging generative AI and Large Language Models to enhance data integration capabilities. Skill & Experience Requirements: Bachelor&aposs degree in Computer Science or related field; Master&aposs preferred. 9+ years of software development experience, particularly in integration and data transformation. Proven ability in migrating legacy systems to modern technology stacks. Practical experience or strong enthusiasm for AI and generative technologies. Strong experience with both C#/.NET and modern web technologies (TypeScript, NodeJS, React). Proficiency in relational databases (MS SQL) and data integration methodologies. Experience developing APIs and working with diverse third-party system integrations. Familiarity with AWS cloud services and serverless architecture (preferred). Knowledge of CI/CD practices, automated testing frameworks, and monitoring tools. Interest or experience in AI technologies and generative AI models (LLMs, Cursor, Windsurf). Who We Are We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company thats on the move. We live the Poppulo values each day, as they are key to everything we do. Bring Your Best Self We show up authentically, are self-aware and always strive to be better. See it. Own it. Solve it. We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures. Together Were Better We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That&aposs what makes us a team. Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK. Poppulo is an equal opportunity employer. We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy. Show more Show less

In this role, you will drive a strategic AI transformation across the pharmaceutical value chain, from drug discovery to commercialization, by leading enterprise-wide initiatives and coaching subordinates to deliver high-impact solutions. You will serve as a strategic expert in life sciences, providing leadership in applying Generative AI to various areas such as drug discovery, clinical trials, regulatory affairs, pharmacovigilance, and market access. Your responsibilities will include driving thought leadership by identifying and promoting innovative Generative AI applications to position the organization as an industry leader. You will lead enterprise-wide initiatives to gather, analyze, and prioritize business requirements, aligning AI solutions with long-term organizational objectives. This will involve overseeing comprehensive analyses of complex business processes, designing AI-driven strategies to achieve operational excellence and competitive advantage. You will also be responsible for authorizing and reviewing business cases, feasibility studies, and ROI analyses to secure executive approval for transformative AI initiatives. As a key liaison between C-suite executives, technical teams, and external partners, you will drive alignment on AI strategies and initiatives. Your role will involve leading enterprise-level workshops, steering committees, and governance boards to shape AI adoption and ensure stakeholder buy-in. Additionally, you will represent the organization in industry forums and partnerships to advocate for AI-driven innovation in life sciences. Managing and mentoring a team of Senior Specialist Business Analysts will be part of your responsibilities, where you will provide strategic guidance, set performance goals, and foster professional development to ensure high-impact AI business use case delivery. You will coach Senior Specialists in advanced business analysis techniques and Generative AI applications, enhancing their ability to address complex challenges in the life sciences domain and ensuring alignment with organizational objectives. Furthermore, you will oversee the development and deployment of enterprise-scale Generative AI solutions, collaborating with AI architects and data science leaders to define model architectures and deployment frameworks for life sciences applications. It will be crucial to ensure that AI solutions are scalable, reliable, and fully integrated into mission-critical workflows. Establishing governance frameworks to ensure AI solutions comply with global regulatory standards and ethical principles will also be part of your role. To be successful in this role, you should have 10-12 years of core Business Analyst or strategic consulting experience in the life sciences domain with at least 5 years leading AI technologies, supported by a Masters degree in Life Sciences, Biomedical Sciences, Computer Science, Data Science, or a related field. A PhD or MBA is highly desirable. Expert understanding of Generative AI, machine learning, and their applications in life sciences, along with proficiency in advanced data analysis tools, exceptional project management skills, and superior analytical and problem-solving abilities are essential. Outstanding communication and leadership skills, as well as deep familiarity with life sciences/pharmaceutical regulatory requirements and industry standards, will also be critical for this role.,

Are you seeking a thrilling opportunity to become a part of a vibrant and expanding team in a fast-paced and challenging domain As an Analytics Solutions Manager specializing in Applied AI/ML and holding the title of Vice President within the Asset & Wealth Management (AWM) Risk Management team, your primary responsibility will be to conceptualize, create, and deploy advanced AI/ML solutions that cater to a variety of business requirements. Your focus will be on ensuring scalability and optimal performance. As a Generative AI/ML Specialist operating within the AWM Risk Management sector, you will play a critical role as a key member of an agile team dedicated to crafting and implementing cutting-edge generative AI and machine learning solutions. Your duties will revolve around offering strategic guidance in crafting and executing innovative generative AI/ML models and algorithms that drive business transformation and enhance decision-making processes. Your task will involve designing adaptable and scalable solutions that retain robustness at their core while being flexible enough to adapt to evolving business demands. Serving as a pivotal technical and strategic contributor, you will collaborate across various business functions to embed AI/ML capabilities that resonate with the firm's objectives. Furthermore, you will engage closely with leadership to provide insightful leadership, formulate strategic roadmaps, and assess emerging AI/ML technologies, necessitating a blend of technical acumen and strategic foresight. **Job Responsibilities:** - Design, develop, and implement advanced AI/ML solutions to address diverse business needs, ensuring scalability and performance. Enhance state-of-the-art Gen-AI models to support use cases like Document Q&A, Information Retrieval/Summarization, and Search. - Collaborate closely with leadership to establish the technical vision and execute strategic roadmaps, translating business requirements into actionable AI/ML specifications. - Lead AI/ML projects throughout the ML development lifecycle. Utilize agile methodology, define crucial milestones, and guarantee timely delivery. - Stay abreast of data science and machine learning advancements by collaborating with the internal AI/ML community to introduce innovative solutions to the AWM Risk organization. - Mentor junior data scientists and analysts, and devise training initiatives to boost AI/ML awareness and adoption within the team. - Develop and manage efficient data pipelines and workflows, ensuring data quality and integrity through meticulous cleaning, preprocessing, and validation. - Conduct exploratory data analysis to unveil trends and insights, perform statistical analysis and hypothesis testing to support data-driven decision-making. - Present findings through clear and impactful visualizations and reports, facilitating informed decision-making across the organization. **Required Qualifications, Skills and Capabilities:** - Bachelor's degree or higher in a quantitative field like Computer Science, Data Science, or Machine Learning, accompanied by 7+ years of experience. - Proficiency in programming languages such as Python or R, along with expertise in SQL and relational databases. - In-depth knowledge of machine learning, artificial intelligence, and statistical analysis and modeling techniques. - Strong problem-solving abilities, keen attention to detail, and the capacity to work autonomously and as part of a team. - Excellent communication and collaboration skills, inspiring and leading teams comprising both technical and non-technical members. **Preferred Qualifications, Skills and Capabilities:** - Proficiency with large language models (LLMs), prompt engineering techniques, and generative AI. - Sound background in natural language processing (NLP), deep learning methods, and experience in implementing ML solutions for insights, pattern detection, and forecasting. - Experience with Graph Databases, Large Graph Models (LGM), and GraphRAG applications.,

Careers Head of AI (Associate) Location:Bengaluru, India Salary:Competitive Contract:Permanent Hours:Full-time About The Role The Head of AI Strategy and Integration will define and lead QCICs global AI transformation agenda. This senior, cross-functional role is responsible for setting our strategic direction on GenAI, Intelligent automation and data-powered operations. You will guide the implementation of AI solutions across the business, delivering meaningful process improvements, with an keen eye on AI governance. What You Will Do Lead the design development and deployment of AI powered business workflows using the latest LLMs, agents and intelligent automation tools Guide AI governance, ethical use, and standardisation across all AI-enabled solutions Support business units by training staff and promoting the effective use of AI tools in daily operations. Stay current on the latest AI developments (releases, tooling, methodologies) and recommend relevant applications that could in improve all areas of the business. Supervise, mentor, and support a small but growing AI engineering team, fostering a culture of collaboration, innovation and driving improvements across the business. Engage in hands-on development as required, building prototypes and working solutions for internal stakeholders Work alongside our Power Platform team to enhance advance model-driven app solutions and Business Reporting using AI capabilities Contribute to long-term planning, vendor evaluations, and strategy for scalable and secure AI adoption Match the business needs with Industry standards on governance like ISO 27001 to allow the business to remain compliant. Collaborate with global colleagues across time zones, some flexibility will be required What We Are Looking For Deep understanding of generative AI, LLMs and agent frameworks. Track record in designing, building and deploying AI-enabled workflows and solutions. Hands on experience developing workflows and using Microsofts Power Platform. Experience of implementing AI solutions with the ISO 27001 is desirable (not audit level). Experience designing and implementing AI solutions with CRM Systems is desirable. Demonstrated ability to lead, inspire and mentor technical teams. Strong written and verbal communication skills, able to present AI capabilities to both technical and non-technical audiences. Comfortable working in a fast-paced, evolving technical environment Practical experience with up to date tools and platforms e.g. Microsoft Copilot, Open AI etc Experience Very strong organisational skills 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions Leadership or team lead experience, particularly within AI Innovation Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps and Cloud-native data engineering Experience working across departments and coaching non-technical stakeholders Experience with Azure OpenAI studio or Similar enterprise AI environments Exposure to model-driven apps and Dataverse integration Working knowledge Microsoft Power platform suites Experience contributing to AI/ML strategy at an organisational level Awareness of AI safety, compliance and ethical frameworks PowerShell scripting, SQL Query creations. Power platform workflow creation User rollout of cloud based IT solutions Knowledge And Skills Keen attention to detail A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy The ability to lead AI automation projects and work within project scopes Ability to juggle different tasks effectively Ability to lead a team and provide mentorship The ability to understand how users learn and adapt to technology Flexibility with working hours due to the nature of the role Strong written and verbal communication skills are a must NB: The successful candidate will be required to pass our security screening procedures. Show more Show less

Skill required: Talent Development - Learning Delivery Operations Designation: Visual Design Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do We are seeking a talented and motivated Senior Motion Graphic Designer/Animator to join our team. The ideal candidate will have a strong portfolio showcasing their animation and design skills across various digital mediums. They should be passionate about creating visually compelling and effective animations/designs that align with our clients brand identities and goals. Talent Development process Ensure successful delivery of learning solutions and review their effectiveness and applicability. What are we looking for Written and verbal communication Educational Qualification: Bachelor s/Master s degree in Animation and Motion Graphics, Graphic Design, Visual Communication, or in any related field. Experience: Proven experience (6 to 10 years) working as an Animator/Motion Graphics artist, or in a similar role, with a strong portfolio showcasing a diverse range of animation projects. Critical Thinking Problem Management Excellent communication and collaboration skills, with the ability to effectively present ideas and receive feedback. Strong organizational skills. Open to learning and adapting to new tools, techniques, and design trends. Demonstrated creativity, problem-solving ability, and a passion for design innovation. Roles and Responsibilities: Participate in brainstorming sessions Independently handle Request Communicate effectively Innovate actively Ability to multitask and work under pressure Relationships: Report to Media Lead Coordinate with internal Instructional Design team and Technology team for media assets development. Technical skills: Proficiency in Adobe After Effects (advanced level), Premier, Animate, Adobe Audition and other relevant design software. Should have basic knowledge of Generative AI. Knowledge of 3Ds Max, DaVinci will be a plus. Creativity and Design skills: Solid understanding of design principles, typography, color theory, and layout techniques. Ability to participate actively in brainstorming/ideation sessions to bring in new ideas. Ability to conceptualize and execute original ideas. Attention to details is a must. Should have strong storyboarding skills. Advanced sound engineering skills will be a plus. Show more Show less

Skill required: Talent Development - Learning Delivery Instruction Designation: Visual Design Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do We are seeking a talented and motivated Graphic Designer to join our team. The ideal candidate will have a strong portfolio showcasing their design skills across various digital mediums. They should be passionate about creating visually compelling and effective designs that align with our clients brand identities and goals. Talent Development process Deliver instructional information for an audience based on learning activities approaches to help an organization achieve their learning goals. What are we looking for Written and verbal communication Educational Qualification: Bachelor s/Master s Degree in Graphic Design, Visual Communication, or in any related field. Experience: Proven experience (3 to 6 years) working as a Graphic Designer or in a similar role, with a strong portfolio showcasing a diverse range of design projects Critical Thinking Problem Management Development under supervision. Ability to learn and upskill. Roles and Responsibilities: Technical skills: Proficiency in Adobe Creative Suite and other relevant design software. Should have basic knowledge of Generative AI. Creativity and Design skills: Solid understanding of design principles, typography, color theory, and layout techniques. Ability to conceptualize and execute original ideas. Attention to details is a must. Soft skills: Good communication and collaboration skills, with the ability to effectively present ideas and receive feedback. Strong organizational skills. Open to learning and adapting to new tools, techniques, and design trends. Experience with web design, UX/UI principles, and motion graphics will be a plus. Show more Show less