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Команда занимается разработкой NLP моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. **_Примеры:_** _• Система гардрейлов для защиты LLM-моделей и…
The Senior Data Engineer will design and build enterprise-grade data platforms and pipelines for federal clients using cloud technologies like AWS. The role involves architecting data migrations, optimizing ETL workflows, and collaborating in an Agile environment to support data exploitation initiatives.
Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Designs and implements AI/ML solutions for healthcare operations, focusing on clinical, operational, and administrative workflows using advanced ML techniques like prompt engineering and RAG. Collaborates with cross-functional teams to ensure scalable, secure, and compliant AI systems while mentoring junior engineers.
Senior AI Engineer building AI agent solutions for risk management and payment processing at Airwallex, using Python, ML frameworks (PyTorch/JAX), and agentic frameworks like LangChain and LlamaIndex.
Build and deploy enterprise-grade Agentic AI systems, LLMs, and Generative AI solutions for autonomous workflows in investment banking and global markets.
AI Engineer Consultant at Slalom designing and delivering ML/AI solutions (Computer Vision, NLP, GenAI/LLMs) for enterprise clients using Python and major cloud platforms (AWS, GCP, Azure).
Senior Data Engineer designing and evolving data products, pipelines, and domain-oriented models on Azure/Databricks to power AI features and enterprise software at an accounting/ERP SaaS company.
Design and evolve enterprise architecture integrating SAP S/4HANA, Google Cloud Platform, data platforms, and AI/ML tools into a secure, scalable ecosystem while leading architecture governance.
Design and deploy production-ready AI solutions using Azure AI Foundry and OpenAI, building agents, RAG systems, and intelligent workflows to improve logistics operations.
Junior BI Developer primarily building ML models, NLP solutions, RAG systems, and LLM-powered applications on AWS for federal healthcare clients, with foundational SQL and SAP BusinessObjects reporting support.
AI Software Engineer driving Iberdrola's AI transformation by developing end-to-end generative AI solutions (LLMs, RAG, agents) using Python/Java with FastAPI/Spring in cloud-native DevOps environments.
Build end-to-end AI solutions for a global energy leader, focusing on generative AI, LLMs, and scalable cloud-native architectures.
AI Software Engineer at Iberdrola in Madrid, developing end-to-end AI solutions (GenAI, LLMs, RAG, agents) for the company's AI transformation plan, collaborating across business, data, and cybersecurity teams to deliver scalable, production-grade systems.
The Machine Learning Engineer will build and deploy ML-powered systems to improve Apple's software testing and quality assurance processes. The role involves applying LLMs, computer vision, and large-scale data analysis to automate test triage, failure analysis, and code change impact prediction.
Lead Software Engineer driving AI/ML adoption and building scalable ML systems (batch and real-time inference) for JPMorgan Chase's Home Lending Servicing group, focusing on MLOps, LLM patterns, and AI-assisted engineering practices.
Own and evolve on-device conversational AI for an industrial safety wearable, building dialog systems with NLU, SLM inference, and deterministic safety guardrails under strict latency, memory, and thermal constraints on edge hardware.
Lead the architecture and development of RAG systems combining LLMs with industrial knowledge sources to build troubleshooting assistants, using Python, PyTorch, Hugging Face, LangChain, and vector databases.
Build and deploy production AI and agentic systems—including RAG pipelines, LLM assistants, and document intelligence—to transform tax workflows, collaborating across tax and engineering teams.
Senior AI/ML Engineer designing, optimizing, and validating enterprise-grade LLM and RAG solutions in Python, leading technical audits, building evaluation frameworks, and mentoring teams.
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