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Build and deploy generative AI agents and copilots for property tech using LLMs, RAG, and multi-agent systems, integrating them into scalable full-stack applications.
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Lead the fine-tuning and optimization of domain-specific AI models, designing strategies and deploying production-grade LLMs using frameworks like LoRA and HuggingFace.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
Senior role designing and deploying AI solutions using graph data and GraphRAG for enterprise customers, from discovery to production.
Senior Data Scientist Consultant designs and delivers AI/ML solutions for public sector and enterprise clients, from prototyping to production deployment, using Python, PyTorch, and MLOps.
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Lead AI/ML engineering for agentic systems at JPMorgan Chase, designing LLM orchestration, RAG pipelines, and reusable GenAI components in Python with PyTorch/TensorFlow.
Designs and deploys AI solutions for banking clients, integrating agentic AI, cloud platforms, and enterprise systems like Salesforce and Azure AI Foundry.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and maintain ML models and pipelines for document processing and AI agents using Python, LLMs, and libraries like PyTorch and scikit-learn.
About Asymptote Asymptote is building the AI Detection & Response layer for the agentic enterprise. AI agents are becoming enterprise infrastructure, but security teams have no unified system of record for what…
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Analyze customer-interaction data to drive AI model improvements, prompt engineering, and automation pipelines for an AI-native SaaS platform.
Build and deploy AI-powered applications for U.S. government clients, integrating LLMs, vector stores, and microservices across the full stack.
Build and optimize computer-vision models for Datature’s MLOps platform, integrating cutting-edge neural networks and prototyping new vision algorithms for clients in niche domains like medicine and agriculture.
Build and evaluate NLP models using Python, PyTorch/TensorFlow, and Hugging Face Transformers to classify text and extract insights for government-focused missions.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and test components for generative AI and LLM applications under supervision, including RAG pipelines and prompt engineering, using Python and ML frameworks.
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
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