Hindi AI Product Tester
Participants will use a Google Pixel 9 or newer device to interact with apps and organize notifications. They are required to complete daily sorting tasks and submit feedback forms for 14 consecutive days.
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Participants will use a Google Pixel 9 or newer device to interact with apps and organize notifications. They are required to complete daily sorting tasks and submit feedback forms for 14 consecutive days.
Participants will use a Google Pixel 9 or newer device to interact with apps and perform notification sorting tasks. They are required to provide daily feedback and documentation to help improve mobile AI technologies.
Architect and maintain scalable data pipelines and systems to support agentic AI applications for supply chain optimization. Collaborate with stakeholders to translate business requirements into technical AI/ML and Operations Research solutions.
Implement AI governance frameworks and ensure enterprise compliance with the EU AI Act and other regulations. Develop policies across the AI lifecycle to ensure responsible, transparent, and secure AI deployment.
Create innovative, thought-provoking insights and market predictions to guide world-leading organizations in data management and AI readiness. Act as a trusted advisor to clients and provide sales support to drive engagement and business growth.
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Lead the end-to-end AI product lifecycle from identifying user pain points to training foundation models and measuring real-world impact. Collaborate with cross-functional teams to translate business goals into a technical AI roadmap and maintain production-grade training pipelines.
Define and drive the technical strategy for Foundation Model ML Infrastructure to support the full lifecycle of machine learning models. Design and implement scalable, secure, and cost-effective platform services for model training, inference, and deployment at a global scale.
Design and operate enterprise-grade data and AI governance across the S4+ transformation programme to ensure assets are trusted and compliant. Establish governance-by-design controls and ensure a seamless transition to business-as-usual operations post go-live.
Own the evaluation loop for all AI products, including pre-launch quality gates and post-launch monitoring. Build quality dashboards and translate failure patterns from production traffic into actionable product fixes.
Create AI-generated images, videos, and characters for social media advertising and internal R&D. Develop and optimize prompts while collaborating with designers and marketers to align with campaign objectives.
Design and deploy production-ready AI agents and modular automation systems to optimize business operations across multiple companies. Integrate various SaaS platforms and develop scalable AI-assisted coding workflows to improve operational efficiency.
Design and deploy production-ready AI agents and scalable automation workflows using Claude Code and Python. Transform complex business processes into intelligent systems to optimize marketing, reporting, and internal operations.
Lead the AI Inference team to build high-throughput, low-latency LLM serving systems and core infrastructure. Balance hands-on technical contributions in C++/CUDA with the mentorship and growth of a developer squad.
Design and architect per-tenant contextual knowledge graphs and NLP pipelines to extract structured knowledge from sales data. Develop reasoning and inference layers to power next-best-action recommendations and deal risk scoring.
Design and implement a per-tenant contextual knowledge graph to power reasoning, recommendations, and deal risk signals. Build extraction pipelines to transform unstructured conversational and document data into structured knowledge.
Drive digital transformation by developing a roadmap for AI and automation to improve operational efficiency and service delivery. Oversee the full product lifecycle from requirement gathering and prototyping to deployment and adoption across the organization.
Design and implement security and resilience enhancements for a cloud-native payments platform. Focus on delivering scalable capabilities in API security, cryptographic controls, and AI governance within the software development lifecycle.
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The role involves building and optimizing modern data platforms and developing scalable data pipelines. It also focuses on supporting cloud-based analytics solutions within a dynamic international team.
Annotate and review multimedia data including video and images using defined labeling rules and structured guidelines. Perform quality assurance, participate in calibration sessions, and contribute to the improvement of labeling guidelines.
The role focuses on designing and managing strategic Go-To-Market programs for Data Platforms in Korea to accelerate revenue growth and field agility. It involves collaborating across sales, marketing, and partner functions to align processes and optimize pipelines through data-driven decision-making.
Architect and ship end-to-end AI applications while providing technical authority across the engineering team. Lead technical direction, review solution architectures, and mentor engineers through code reviews and growth plans.
Drive the discovery, design, and adoption of enterprise AI capabilities by identifying high-value use cases and implementing scalable AI solutions. Collaborate with cross-functional teams to establish data structures and retrieval workflows using LLMs and RAG frameworks.
Lead the deployment and operational support of AI platforms and infrastructure while optimizing machine learning workflows. Build MLOps pipelines and ensure system security, scalability, and compliance across enterprise AI services.
Lead the technical strategy and development of advanced generative AI and multimodal vision systems. Drive the transition of research models into production-ready capabilities while mentoring other scientists.
Design, build, and productionize Generative AI solutions and traditional software applications across various business functions. Lead end-to-end delivery as a product owner while mentoring junior developers and collaborating with cross-functional technical teams.
The role acts as a bridge between sales and engineering, translating client needs into precise Statements of Work (SOW) and internal handover documents. You will manage 5-10 parallel engagements, ensuring technical feasibility and defining the scope of AI solutions before they are signed.
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Lead the design vision for Jira's transformation into an intelligent platform featuring agentic AI systems. Manage a team of 8-12 designers to define new interaction paradigms and ensure high craft standards across AI experiences.
Perform diverse data tasks including collection, evaluation, and annotation to improve AI-generated content in Korean. Responsibilities also include pairwise comparisons and object tagging across audio, video, and image content.
The analyst optimizes AI-powered interactions and transforms engagement data into actionable insights to improve customer and agent experiences. They are responsible for tuning AI models, monitoring performance, and ensuring compliance with brand and safety guidelines.
The role involves executing manual tests and expanding automation coverage for AI-driven features and embedded systems. Responsibilities include developing test plans, maintaining Python frameworks, and ensuring comprehensive test coverage through various quality management principles.
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