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Evaluate search results and AI-generated content for quality and accuracy, providing ratings and feedback to improve AI model performance as a remote freelancer.
Corporate Counsel specializing in telecommunications and regulatory compliance at Dialpad, ensuring AI-powered voice and messaging products meet evolving legal requirements across federal, state, and international frameworks.
This role involves building and maintaining the full-stack data platforms and interfaces used to collect human feedback for training Claude. You will work closely with RL researchers to design reliable pipelines and tools that turn human feedback into high-quality training signals.
Build and optimize the infrastructure behind cutting-edge ML research for top quant trading and systematic investment firms, focusing on distributed training and GPU systems.
Principal Engineer builds and scales AI-driven platforms and agentic systems for clients, guiding architecture and mentoring teams across diverse tech stacks.
Senior Business Analyst defines analytical approach, documents functional requirements in Italian, and ensures Salesforce-based solutions meet business needs for complex IT projects across EU.
Lead enterprise-scale implementations of Coveo’s AI-powered search and relevance platform, coordinating teams and stakeholders to deliver technical solutions for global brands.
The Senior Product Manager will lead the product roadmap for shopping capabilities within Gemini, focusing on integrating generative AI and LLMs into conversational shopping experiences. The role involves cross-functional collaboration with engineering and UX teams to design and launch AI-native features like personalized curation and agentic workflows.
As a Staff Software Engineer for AutoCloud, you will lead the architecture of AI-powered memory and context systems for autonomous cloud management. You will design scalable, low-latency infrastructure for agent memory, RAG platforms, and cloud state aggregation while collaborating with research teams.
Builds and optimizes server-side AI skills for a desktop personal assistant that automates routine tasks using LLMs, computer vision, and UI parsing across Windows/macOS/SberOS.
Разработка и внедрение AI-агентов для автоматизации HR-процессов в Сбербанке: прототипирование, тестирование и итеративное улучшение решений на основе LLM и трансформеров.
The Senior Product Manager will lead product execution for the Digihub pillar, integrating AI and automation into patient services, CRM, and provider tools to improve specialty pharmacy access. This role involves cross-functional collaboration with engineering, AI/ML, and clinical operations to deliver scalable, compliant digital pharmacy solutions.
Senior Backend Engineer owning features end to end for Sophea Meet, an AI-powered meeting assistant, working primarily with TypeScript, Node.js, Python, PostgreSQL, Redis, and Kubernetes on AWS.
The MLOps Engineer will work in a hybrid capacity in McLean, VA, to manage machine learning workflows and infrastructure. The role requires proficiency in Python, AWS, Kubernetes, and Spark to support ML tooling and pipeline development.
Client Services Analyst onboarding industrial customers onto B3's AI-driven data platform—reverse-engineering legacy reporting, designing data pipelines, and triaging live support requests.
Builds and deploys AI/ML models and services for a product company, leveraging Python and Google Cloud Platform for data modeling and scalable solutions.
Forward Deployed Engineer working directly with customers to build real-time communication and voice AI applications on an AI-driven platform used by major tech companies.
Build and refine an autonomous AI-driven quantitative research platform for a self-improving hedge fund, leveraging thousands of ML models.
Designs and deploys enterprise-scale cloud and hybrid infrastructure solutions for Microsoft’s strategic customers, bridging business needs with technical execution. Advocates for customers, shapes architecture decisions, and drives AI/cloud adoption across industries.
The Azure Cloud Infrastructure Engineer will design, deploy, automate, and secure Azure infrastructure to support enterprise AI and GenAI platforms.
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