9 Graph Ml Jobs

The Conversational AI team at Walmart is responsible for building and deploying core AI assistant experiences across Walmart, catering to millions of active users globally. As a Staff Data Scientist, you will play a crucial role in leading the evolution of the AI assistant platform by developing highly scalable Generative AI systems and infrastructure. This hands-on leadership position requires expertise in machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Your responsibilities will include partnering with key business stakeholders to drive the development and planning of proof of concepts and production AI solutions within the Conversational AI space. You will be involved in translating business requirements into strategies, initiatives, and projects aligned with business objectives. Designing, testing, and deploying cutting-edge AI solutions at scale to enhance customer experiences will be a key aspect of your role. Collaboration with applied scientists, ML engineers, software engineers, and product managers will be essential in developing the next generation of AI assistant experiences. Staying updated on industry trends in Generative AI, Speech/Video processing, and AI assistant architecture patterns will be crucial. Additionally, providing technical leadership, guidance, and mentorship to a skilled team of data scientists, as well as driving innovation through problem-solving cycles and research publication, are integral parts of this role. To qualify for this position, you should have a Master's degree with 8+ years or a Ph.D. with 6+ years of relevant experience in Computer Science, Statistics, Mathematics, or a related field. A strong track record in a data science tech lead role, extensive experience in designing and deploying AI products, and expertise in machine learning, NLP, speech processing, image processing, and deep learning models are required. Proficiency in industry tools and technologies, a deep interest in generative AI, and exceptional decision-making skills will be assets in this role. Furthermore, you should possess a thorough understanding of distributed technologies, public cloud platforms, and big data systems, along with experience working with geographically distributed teams. Business acumen, research acumen with publications in top-tier AI conferences, and strong programming skills in Python and Java are also essential qualifications for this position. Join the Conversational AI team at Walmart Global Tech, where you will have the opportunity to make a significant impact, innovate at scale, and shape the future of retail while working in a collaborative and inclusive environment.,

Job Description Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/) About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsus products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researcher’s duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsu’s network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

We are seeking a skilled Data Scientist preferably with a background as a Data Engineer to join our team and lead the design, development, and deployment of robust Machine Learning models on AWS. This role demands strong expertise in feature engineering and model development, with the ability to handle end-to-end ML lifecycle. Key Responsibilities: Design, build, and deploy scalable Machine Learning models on AWS Perform advanced feature engineering to optimize model performance Clean, transform, and analyze large datasets to extract actionable insights Collaborate with data engineers and business stakeholders to define problem statements and develop solutions Develop reusable pipelines and solutions using MLOps best practices Monitor and maintain deployed models for accuracy and performance over time Must-Have Skills: Proven experience as a Data Scientist , with prior background in Data Engineering Hands-on proficiency with AWS services (S3, SageMaker, Lambda, EC2, etc.) Strong experience in Feature Engineering , model training, validation, and tuning Proficient in Python and relevant ML libraries (scikit-learn, pandas, NumPy, etc.) Familiarity with ML lifecycle management and version control

Job Description Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/) About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsus products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researchers duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsus network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.

Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Experience: 35 years (DS) / 58 years (Sr DS) Positions: 3 (2 DS + 1 Sr DS) Target Profiles: 1215 Client: EY ODC Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Experience: 3--5 years (DS) / 5--8 years (Sr DS) Positions: 3 (2 DS + 1 Sr DS) Target Profiles: 12--15 Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI, D365 CRM Integrations Specialist Azure Logic Apps, Power Automate, and Azure Service Bus. Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote