Model Salary at Casting360 Co BETA

Looking for a Data Modeler to design, build, and maintain data models on the Data bricks platform to support data analytics and business intelligence applications. Responsibilities: Design and implement scalable and efficient data models within the data mesh architecture, considering factors such as domain-driven design, data as a product, and data governance. Work closely with data architects, data engineers, business users and translate business needs into technical solutions, and communicate data model designs effectively. Leverage Databricks for data engineering tasks such as data processing, data validation and data orchestration. Optimize data pipelines and ensure reliable and efficient data processing, high performance, and scalability. Implement data validation rules and data quality checks to ensure data integrity and consistency. General Requirements: Bachelor's degree in Computer Science or equivalent experience. Data Mesh Data Modeler with Databricks Expertise. Skilled Data

Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 750,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 3

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni

Research Engineer (Foundation Model Development) $175,000 – $200,000 + Equity + Benefits Palo Alto, CA – On-site If you're passionate about building the next generation of large-scale, multimodal generative models—and you want to train them at scale across thousands of GPUs—this is the opportunity you’ve been waiting for. I’m partnering with a well-backed AI research lab in Palo Alto that’s scaling its ML research team. This group sits at the bleeding edge of generative AI, driving forward the development of highly performant, scalable multimodal models using massive compute infrastructure. This is a chance to work alongside some of the best in the industry, contribute to core research, and build models that power real-world applications. You’ll play a pivotal role in algorithm design, architecture experimentation, and large-scale training optimization—all in a fast-paced, mission-driven environment. In this high-impact, high-autonomy role you will lead and contribute to ground-breakin

AI Benchmarking & Evaluation Engineer Join a team at the forefront of AI model evaluation, setting the standard for how large language models are tested and validated. In this role, you'll assess the latest AI models, design new benchmarks, and develop advanced evaluation methodologies. You'll work closely with engineers, AI researchers, and enterprise clients to ensure cutting-edge AI systems meet the highest standards. This role is a bridge between research and practical implementation and will suit someone who enjoys taking academic papers and creating working models. Key Responsibilities: Analyze and benchmark newly released AI models (DeepSeek, Gemini, etc.) Develop and implement novel evaluation frameworks Build datasets, manage labeling processes, and publish findings Enhance automated evaluation techniques for AI-generated content Collaborate with top AI labs and enterprise partners to refine best practices Who You Are: MSc or PhD from leading Computer Science or Machine Learni