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Responsibilities involve interacting directly with AI systems, reviewing model outputs, and following clear task guidelines to contribute to the creation of high-quality training data. This includes activities like evaluating responses, identifying inconsistencies, and providing feedback to help models learn more effectively.
The primary responsibility involves reviewing and refining AI-generated content related to system configuration, cloud cost optimization, and operational efficiency to ensure accuracy and relevance. This includes designing realistic infrastructure management scenarios and identifying risks in AI-driven solutions.
The role involves reviewing and refining AI-generated outputs concerning pricing strategy, market analysis, and revenue optimization for analytical validity and commercial feasibility. Responsibilities include drafting realistic pricing scenarios and assessing AI reasoning on models, competitor analysis, and margin optimization.
The specialist will review and refine AI-generated responses concerning identity and access management, authentication protocols, and security compliance for technical accuracy and best-practice alignment. This includes drafting realistic IAM scenarios and assessing AI reasoning around security frameworks and access control policies.
The engineer will review and refine AI-generated content related to MLOps workflows, automation, monitoring, and deployment to ensure technical validity and industry best practices. This includes drafting realistic scenarios and assessing AI reasoning across various operational aspects of machine learning.
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The Principal Engineer - AI Trainer will review and refine AI-generated technical responses and code outputs, ensuring adherence to sound engineering principles and best practices. This involves assessing AI reasoning on complex engineering problems, identifying logical flaws, and drafting realistic engineering scenarios.
The role involves reviewing and refining AI-generated responses related to system operations, troubleshooting, and infrastructure management for technical accuracy and alignment with best practices. Responsibilities also include drafting realistic operational scenarios and assessing the AI's reasoning for logic, risk, and compliance.
The specialist will converse with advanced language models on various language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. Daily tasks also involve suggesting improvements to prompt engineering and evaluation metrics to harden model reasoning.
The specialist will converse with advanced language models on various language scenarios, verify factual accuracy and logical soundness, and capture reproducible error traces. Daily tasks include suggesting improvements to prompt engineering and evaluation metrics based on model failures.
The role involves prospecting and cold outbound communication to target executives, leveraging AISDR tooling to execute scaled automated sequences, and booking/running product demonstrations of the Clovyr AI Cloud platform. Responsibilities also include closing new business independently and providing market feedback to the founding team.
The HR Manager will lead core HR initiatives while designing systems, automations, and AI agents to improve the efficiency and impact of the People function. Key duties include developing people strategies, innovating with AI and automation in HR processes, championing employee experience, and ensuring compliance and effective talent operations.
This role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. Responsibilities include architecting reference pricing systems, building the supplier intelligence layer, and establishing the canonical source of truth for revenue and margin.
This role involves building and leading the intelligence and reconciliation backbone for travel transactions across Flights, Hotels, Cars, and Ancillaries, owning systems that define pricing intelligence and financial truth. Responsibilities include owning the end-to-end strategy for pricing intelligence and financial reconciliation, architecting reference pricing systems leveraging predictive modeling, and driving cross-functional execution.
The role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. This includes architecting reference pricing systems, building the supplier intelligence layer, and governing the canonical source of truth for revenue and margin.
This role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. The manager will architect and evolve reference pricing systems leveraging predictive modeling and build the supplier intelligence layer transforming transactional data into automated performance signals.
This role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals, including architecting reference pricing systems leveraging predictive modeling and anomaly detection. The individual will also establish the canonical source of truth for revenue and margin, and drive cross-functional execution to deliver production-grade, model-integrated infrastructure.
The role involves owning the end-to-end strategy and roadmap for pricing intelligence, supplier performance intelligence, and financial reconciliation across all travel verticals. This includes architecting reference pricing systems, building the supplier intelligence layer, and establishing the canonical source of truth for revenue and margin.
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The engineer will own the end-to-end pipeline for safety-critical ML perception models, focusing on enabling the vehicle to accurately see, classify, and track environmental elements like road markings and vulnerable road users. Key tasks include designing and deploying deep learning models for 3D object detection, sensor fusion, and optimizing performance for real-time embedded hardware.
Design and execute software development workflows leveraging AI agents for various tasks while building and improving internal tools and automation layers that enable these agents to operate effectively. The role involves end-to-end development, rigorous Git ownership, terminal-first execution, and managing secure developer operations across applications and infrastructure.
The role involves various annotation tasks such as audio/video/image/sentence/word validation, categorization, content creation, correction, evaluation, and localization. Candidates will be responsible for ensuring accuracy in these data processing activities.
The main objective is to develop, adjust, and deliver engaging AI enablement training sessions for diverse business audiences across various industries. This involves clearly communicating complex AI concepts and facilitating practical exercises applying AI tools to real-world business scenarios.
The Director will own the product strategy and roadmap for Finance & Risk Modeling efforts, partnering closely with customers to understand their workflows and decision-making processes. They will also lead rapid prototyping and 0→1 product discovery across new AI/LQM use cases, ensuring impactful prototypes are shipped in an ambiguous environment.
The Lead Software Engineer will spearhead AI enablement across the organization by leading the design, development, and deployment of AI-powered tools, including generative AI solutions, to drive productivity improvements. This role involves partnering with stakeholders to define technical vision, mentoring engineers, and establishing best practices for AI solution development.
The Experience Architect, AI & Agentforce will be responsible for driving the solution and building Agentforce-powered experiences to deliver significant business value to clients. This role focuses heavily on experience design, solution design, architecture, and execution for Generative AI technologies.
The role involves analyzing enterprise processes to identify automation opportunities and designing/implementing AI strategies using GenAI and agentic systems to optimize operations across domains like procurement and inventory. Key tasks include developing architecture mappings and translating business needs into actionable, scalable AI solutions.
This role involves defining, planning, and executing go-to-market programs for integrated products, developing compelling product messaging, and creating high-impact marketing and sales content assets. The Director will also create sales training materials and act as the voice of the customer internally and externally.
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The role involves designing and implementing systems that coordinate large language models with real-world tasks to advance the platform's intelligence, focusing on creating novel prompting strategies and building orchestration layers.
Annotators will review social media videos, posts, and other media to assess whether specific criteria are met, and evaluate model outputs across various categories against specified criteria. Daily tasks involve conversing with the model on language scenarios, verifying factual accuracy, capturing error traces, and suggesting improvements to prompt engineering and evaluation metrics.
The role involves strategically consulting successful E-commerce brands on Shopify, focusing on marketing, CRO, and growth, while developing and implementing data-driven growth strategies. This includes utilizing modern AI tools to efficiently execute recommended measures and automate processes.
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