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Design and deploy scalable Azure AI solutions, including ML models, LLMs, and NLP/CV components, while mentoring teams and optimizing performance and cost.
Owns AI/ML product features like personalization and fraud detection, bridging business needs with engineering via backlog and specs.
Own the AI/ML product backlog, gather requirements from stakeholders, and translate them into specs to deliver features like personalization and recommendation systems.
Build and optimize large language models for healthcare applications using fine-tuning, RAG pipelines, and production deployment in a collaborative AI team.
Attend a global AI conference in Dubai focused on deep learning, reinforcement learning, and machine learning research presentations and networking.
Build and deploy production-grade ML systems, focusing on MLOps, model pipelines, and integrating AI features into live platforms.
Design and build automated data-labelling pipelines using Active Learning, Weak Supervision, and Synthetic Data to reduce manual annotation and feed ML models.
Build and deploy production-grade AI/ML and GenAI models for healthcare, integrating with EHR/PACS systems and ensuring secure, scalable MLOps/LLMOps operations.
Builds and deploys production-grade AI, ML, generative AI, and computer vision systems for a hospital, integrating with EHR, imaging, and clinical workflows while ensuring safety and scalability.
Lead adversarial security testing for AI/ML systems, including LLMs and generative AI, identifying vulnerabilities like prompt injection and data leakage, and delivering remediation guidance.
Lead adversarial security testing for AI/ML systems, identifying vulnerabilities in LLMs and pipelines and providing remediation guidance.
Designs and builds AI-native, cloud-based enterprise apps using LLMs, RAG, vector DBs, and agentic workflows for SAP customers in Dubai.
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Build and deploy production-grade ML systems, including LLMs and GenAI, from experimentation to live inference while integrating with core product features.
Leads backend and AI/ML platform engineering in Dubai, setting technical direction, scaling systems, and managing a team while staying hands-on with Python and ML lifecycle.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Design and build ML models for agricultural technology products, collaborating with data scientists and engineers to deploy solutions.
Develops and optimizes computer-vision models (object detection, segmentation) using OpenCV, PyTorch, and YOLO for real-time applications in an office setting.
Build and deploy production-grade AI systems, including NLP, LLM features, and automations, to power workflows for restoration-industry SaaS customers.
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