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Own global revenue growth for an AI and SaaS portfolio across Europe, the Middle East, North America, and APAC. The role involves acquiring new enterprise customers, expanding existing accounts, developing sales strategy, building pipeline, managing complex consultative sales cycles, negotiating deals, and forecasting revenue. The leader will collaborate with marketing, product, and technical teams, engage senior decision-makers, and travel domestically and internationally to drive market expansion and commercial results.
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Leads customer-facing programs, product implementations, and technical integrations across Product, Engineering, AI/Data, and Customer Success. Responsibilities include defining milestones, coordinating releases, managing risks, translating customer needs into technical requirements, understanding APIs and data flows, conducting basic troubleshooting, and ensuring delivery quality and customer satisfaction.
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Develop and deploy scalable computer vision and deep learning systems. Responsibilities include implementing research techniques, extending open-source modules, building machine learning backends, rapidly experimenting with models, and training and testing models at scale for object detection, tracking, OCR, image classification, and video analysis.
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Annotate and categorize images, advertisements, documents, and other content for machine learning datasets. Use custom software to label elements, assign text tags, draw bounding boxes and polygons, perform object detection and image classification, curate images, and document bugs or errors. The role requires accuracy, attention to detail, timeline adherence, computer proficiency, and the ability to work independently and collaboratively.
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Six-month backend engineering internship involving Python and Django application development, RESTful API creation, relational and non-relational database work, monitoring, testing, troubleshooting, performance optimization, and collaboration with engineering teams. The role is office-based in Bangalore five days per week, with potential for an internship extension or full-time offer based on performance.
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Drive enterprise SaaS sales and strategic partnerships across US, UK, and APAC. Set growth KPIs and revenue targets, generate and qualify leads, conduct product demonstrations, coordinate proof-of-concept projects, negotiate partnership contracts, and manage stakeholders. Develop sales playbooks, case studies, and integration documentation while collaborating with product delivery, product, and customer success teams to launch and scale solutions with new partners and customers.
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Full Stack Development Interns will build and maintain backend APIs, frontend features, integrations, background workflows, and GenAI capabilities. The role involves Python, Django, PostgreSQL, React, JavaScript or TypeScript, debugging, testing, Git workflows, and collaboration with engineering teams. Interns will gain hands-on experience in end-to-end product development, databases, deployment, third-party integrations, and production-grade application development.
Retail
Performs manual and automated testing for web and mobile applications within an Agile product delivery team. Conducts exploratory, regression, functional, system, usability, smoke, and API testing; documents test plans, cases, bugs, and results; collaborates with developers, product owners, and stakeholders; and develops automation and regression coverage using Selenium and optionally Appium.
Retail
Develops and deploys computer vision and deep learning systems by implementing research techniques, extending code modules, building machine learning backends, and training models at scale. The role involves rapid experimentation and analysis across object detection, object tracking, OCR, image classification, and video analysis, using Python, OpenCV, PyTorch, and TensorFlow.



