Model Salary at Launchpad Media Llc BETA

Candidate Profile: Data modeling Experience- Erwin or Power Designer Data mapping / data taxonomy SQL knowledge Snowflake Nice to Have Data Governance- rules and conditions of what data can be accessed. Nice to Have: Collibra or Alation experience Need good soft skills- will be collaborating across many teams The Expertise and Skills You Bring Bachelor’s or master’s degree in computer/data science technical or related experience 8+ years of experience hands-on relational, dimensional, and/or analytic experience. Python knowledge is a plus Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Demonstrated, hands-on data modeling, ER diagram` and enterprise software design experience for OLTP (relational) and analytical systems Good know

Principal Associate, Ontology and Data Modeling The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Principal Associate of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization

Description Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Artificial General Intelligence (AGI) organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal can

Data Center Hydraulic Modeler Job ID 183617 Posted 10-Sep-2024 Service line GWS Segment Role type Full-time Areas of Interest Construction, Data Centers, Project Management Location(s) Remote - US - Remote - US - United States of America **About the role** CBRE is looking for a Data Center Hydraulic Modeler to support the clients data center construction program within the Execution Engineering (ExE) team as a hydraulic modeler! This includes the hydraulic modeling of piping systems, reviewing hydraulic models produced by consultants and providing feedback, and general design work **What youll do** + Review and understand the clients piping design guidelines and hydraulic constraints. + Review piping system designs and be capable of providing rule of thumb feedback prior to modeling. + Capture and validate data for model input, including topography, pipe networks, pump curves, valve and heat exchanger curves, and operational parameters. + Input piping system design into a hydraulic mod

Location: Remote (USA only) Travel: Required We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accentures Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are: As an AI and Large Language Model Architect, you will play a pivotal role in designing and implementing the technology architecture for advanced AI (including Large Language Model (LLM)) platform systems and solutions. You will translate business roadmap into technical requirements and architecture. Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the

Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description The AbbVie portfolio consists of several marketed products in areas including eye care, immunology, oncology, virology, and womens health as well as a pipeline containing multiple promising new molecules being studied in hundreds of clinical trials or advancing from Discovery into Development. AbbVie is a global organization with US research sites in Boston (Cambridge and Worcester, MA), Chicago (North Chicago, IL), and the San Francisco Bay Area (

Job responsibilities: 1. Participate in data processing and model development to ensure that the training set can be optimized for different tasks by collecting data from real environment and simulator (multi-modal data, including images, video, audio, 3D point cloud, etc.); 2. Build a training platform based on K8S; 3. Responsible for the development and optimization of specialist policy models and future generalist policies to support multi-tasking robot applications. Job Requirements: 1. Master degree or above, major in computer, artificial intelligence, software, robotics, etc., more than 2 years working experience in the field of robotics, including but not limited to imitation learning/reinforcement learning training, task planning, control and navigation algorithm research, etc 2. Experience in developing large models (LLM, VLM, etc.) and multi-modal models; familiar with deep learning framework; able to conduct large-scale data training and optimization, especially for robot ap

Overview: PepsiCo is looking for an experienced Capacity Planning & Network Strategy Modeler to join in one of our European hubs (Vitoria, Spain; Krakow or Warsaw, Poland; Istanbul, Turkey; Bucharest, Romania). Job Purpose The Network Strategy Design Modeler is a critical role in enhancing Europe supply chain efficiency through the build & deployment of E2E modelling solutions to enable identification and delivery of transformational productivities. This role designs and develops network models that assess manufacturing, transportation, distribution and inventory strategies to enhance overall efficiency of the E2E SC. This is through the leverage of advanced modelling Llamasoft or other tools to achieve these goals. The role requires the ability to gather, analyse and interpret supply chain data to provide actionable insights, influence and communicate recommendations to senior stakeholders (to Snr director / VP level) in a clear and concise manner. Key to the role is demonstrating str