... with SAP S/4HANA and utility customer-service processes. The ideal candidate should have hands-on experience integrating SAP S/4HANA EAM with enterprise GIS platforms, including asset-data mapping, bidirectional synchronization, spatial visualization, map-based work management, data governance, and integration testing.
... needed as backend for UI based applications.- Be a part of large delivery teams working on advanced projects when expert assistance is required.- Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into ...
... needed as backend for UI based applications.- Be a part of large delivery teams working on advanced projects when expert assistance is required.- Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into ...
... analysis of website and application requirements. Writing back-end code and building efficient PHP modules required. Developing back-end portals with an optimized database. Troubleshooting application and code https://jobeax.com/link/6LwPeUbo7jAK3wrc data storage solutions. Responding to integration requests from front-end developers. ...
... product lifecycle: discovery, POCs, MVPs, scaling, and continuous improvement. • Shape and prioritise the product backlog, working closely with Product Owners, Data Scientists, Data Engineers, AI Engineers, Business Analysts, and Architects. • Ensure products are designed responsibly, with appropriate consideration for model ...
... the process would be expected to not only look for the company/industry information from the published reports but also be able to analyze and understand which data points and financial metrics are important for a particular industry. Hence, the profile requires advanced research capabilities, database knowledge, finance ...
... FlashBlade product, we are building a scale-out all-flash file and object store, designed for the modern world. To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data pipeline with Kafka, cluster computing with Spark, and many more use ...
... experience within Plan, make, source, deliver pillars of supply chain management is a plus - Data Analytics: Experience in working with large volumes of transactional data to develop segmentation and opportunity models (Must have- Power BI, Alteryx/SQL, MS Office applications; Good to have - Python/R, VBA, Snowflake/Databricks) ...
... and outstanding ERP, database, data analytics and programming skills. Ever-increasing regulations require tax departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments ...
... and bespoke contractual frameworks - Worked with intellectual property and commercial licensing issues related to AI technologies, including machine learning, data usage, information security, data privacy, and responsible AI commitments - Built or improved contracting processes at scale, including contract intake workflows, ...
... RAGAS, DeepEval, or Vertex AI Rapid Eval. - Experience with Context Store, Vector Store, Embedding infrastructure, and Store design as components of an AI-ready data layer. - Knowledge of the financial services or insurance (BFSI) domain, including data sovereignty, regulatory compliance, and risk management requirements across ...
... aligned with iDream's visual identity; lay out presentations, one-pagers, and print collateral using established brand guidelines; and create infographics and data visualisation assets that make impact data accessible and engaging. AI Workflow and Library Management: Use AI design tools (Canva AI, Adobe Firefly, or similar) ...
... impactful SIEM use cases tailored to OT environments. Onboard data into SIEM from various sources, including custom parsers for unsupported sources. Verification of data of log sources in the SIEM, following the Common Information Model (CIM) Experience in parsing and masking of data prior to ingestion in SIEM Provide support ...
... subject-matter expert in economics and strategy. 7. Data & Quantitative Analysis Analyse large datasets to identify economic trends and relationships. Maintain databases of macroeconomic and financial indicators. Use statistical and quantitative techniques to support economic forecasts. Ensure research is data-driven, accurate ...
... range of companies using all accepted and relevant asset valuation approaches and theories o Design valuation models for asset valuation o Independently gather data pertinent to the engagement through direct client interaction and on site collection of data relating to client assets o Inspect various assets including Residential, ...
... performance, reliability and cost utilizing existing engine designs where possible. Conduct Genset site installation check for Critical EP Projects (for example, Data Center projects). Critical customer information, drawings and production intent photos and data recorded, key actions successfully followed through with customer ...
... other object-detection models - Dataset annotation tools - REST APIs and Postman - pytest or other automated testing frameworks - Linux/Ubuntu - Docker - SQL/databases - Simulation environments - Robotics, drones, autonomous systems, or sensor data - MAVLink / ROS / ROS 2 You do not need to know everything listed above ...
... foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance As a Technical Lead – Guidewire, your day-to-day work activities will be as follows: Provide technical leadership in Guidewire configuration, ...
... validate payroll reports for internal stakeholders, including finance, audit, and management teams. Ensure secure handling of confidential payroll and employee data in compliance with data privacy regulations (e.g., Support internal and external audits by providing payroll documentation, reports, and explanations as required. ...
... content plans, responsibilities and timelines. Maintain an organised library of approved content, case studies, statistics, credentials and examples. Visual & Data Communication Create clear charts and visualisations that communicate data and outcomes effectively. Undertake research into clients, markets, competitors and ...