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Build and maintain iOS/Android apps, integrate AI models/APIs, and optimize performance and user experience.
Build and maintain LLM servers (Llama, Mistral, GPT API) and deploy AI agents that automate tasks like reminders, reports, and paperwork using vector databases and RAG pipelines.
Build and refine AI algorithms for video enhancement, focusing on image sharpening, noise reduction, and dynamic range expansion using Python and OOP.
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Design and build AI-driven agents to automate workflows like data entry and reporting using Python, RPA tools, and cloud AI services.
Build and deploy AI models using Python, PyTorch/TensorFlow, and frameworks like LangChain and LlamaIndex; package models for production and collaborate on R&D.
Build and deploy generative AI systems (chatbots, image generation) using Python, NLP models (BERT, GPT), and computer vision techniques for business solutions.
Build and train AI models (LLMs, CNNs, generative models) using Python and frameworks like PyTorch/TensorFlow to improve datasets and deploy solutions for real business cases.
Build, deploy, and own AI-powered product features using Python, LLMs, and LangChain; work closely with founders who have built and sold Silicon Valley companies.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
Designs and deploys LLM-powered applications using OpenAI, Azure AI, and Python/TensorFlow pipelines, optimizing models for performance and integrating them into production systems.
Build and ship AI-driven workflows and LLM integrations for an ad-tech company, designing prompts, agents, and production-ready AI systems.
Build and scale production-grade LLM applications and AI systems for enterprises, owning architecture, data pipelines, deployment, and MLOps with Python, PyTorch/TensorFlow, and cloud-native tools.
Build AI-driven ad-tech systems: integrate LLMs, design prompts/agents, and ship production workflows that create interactive playable ads for brands and game publishers.
Build and scale backend services for AI-powered voice assistants and call-center platforms using Python, LLMs, STT/TTS, and real-time voice pipelines.
Design and build production-grade LLM applications and integrate AI solutions using Python, ML frameworks, and containerization in an agile, ethical-AI-focused team.
Design and build Java-based AI services that integrate ML models into enterprise systems, requiring 5+ years of Java and Python for integration.
Build and deploy production-grade LLM applications and agentic systems for enterprise clients using Python, PyTorch/TensorFlow, and MLOps tooling.
Build Java-based AI services that integrate Python-trained ML models into enterprise systems, covering model lifecycle, APIs, and scalable pipelines for real-time inference.
Builds scalable distributed backend and internal developer platforms using Kubernetes, cloud-native tech, and AI frameworks to enable autonomous software systems and secure SDLC integrations.
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