Design, develop, and deploy scalable AI applications leveraging Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
Lead the end-to-end lifecycle of AI projects, including requirement analysis, solution architecture, development, testing, deployment, and ongoing optimization.
Build intelligent AI assistants, AI agents, domain-specific copilots, chatbots, and workflow automation solutions that deliver measurable business value.
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Core Focus: Growth, innovation, and cross-regional execution.
Marketing Integration – Partner with Marketing to turn consumer/competitor insights into tailored product concepts, value propositions, and pricing/commercialization strategies for local markets.
Pipeline Activation – Identify and warm up high-potential accounts via pre-sales (technical consults, feasibility, ROI), building a qualified handover pipeline for the sales team.
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deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
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ParcelDaily is seeking a Quality Assurance (QA) Intern to work closely with developers, product, customer service, and operations to test and improve the ParcelDaily platform. The role involves testing workflows, courier integrations, parcel bookings, payment transactions, tracking updates, and other features used by customers.
Assist in building AI-powered automation workflows for digital marketing, lead management, reporting, CRM, WhatsApp, websites, and internal operations.
Support the integration of LLM models such as OpenAI, Anthropic Claude, Gemini, or similar AI platforms into business workflows.
Assist in developing and connecting APIs, REST APIs, webhooks, JSON data flows, and backend logic.
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As a QA Team Lead you will design and build systems that embed quality into the development lifecycle rather than treating it as a final step. This is a hands-on leadership role working closely with product, design, and engineering to define quality ownership across squads while contributing directly through automation, tooling, and observability. Over time you will help establish and grow a scalable quality engineering function that supports the organisation as it scales.
As a QA Team Lead you will design and build systems that embed quality into the development lifecycle rather than treating it as a final step. This is a hands-on leadership role working closely with product, design, and engineering to define quality ownership across squads while contributing directly through automation, tooling, and observability. Over time you will help establish and grow a scalable quality engineering function that supports the organisation as it scales.