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Builds and optimizes web portals and UI solutions using HTML/CSS, JavaScript, and PHP frameworks like Laravel for telecom-focused software.
Builds and optimizes telecom-focused UI solutions using Angular and React, improving usability and performance for global clients.
Senior Full Stack Engineer at Fueled builds and scales high-performance web apps using TypeScript, React, Next.js, and databases, owning end-to-end solutions for global clients.
Salary: £75,000 - 85,000 per year Requirements: Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building…
Мы ищем талантливого специалиста, который сможет присоединиться к разработке и внедрению AI-агентов для автоматизации решения обращений клиентов. Вы будете частью команды, работающей над проектами по созданию и…
AI is moving fast, and very few teams have the opportunity to shape where it's going. At LTX, we're building the next generation of open, multimodal models for AI video and world simulation. Our goal is to make…
Cardboard is seeking an Applied ML Engineer to build evaluation systems and improve the quality of their AI-powered video editing agent. You will work across the stack using TypeScript and Python to analyze failure patterns, create datasets, and implement regression testing for production AI workflows.
Research and train large-scale diffusion models for image and video generation, ablate architectural choices, and fine-tune models for specialized tasks like upscaling and inpainting.
Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments…
The Senior Data Scientist will partner with the Marketing team to develop and deploy machine learning and AI solutions, including LLMs, while managing stakeholder communication and AI strategy. The role involves the full development lifecycle of AI models and requires strong technical proficiency in Python, SQL, and MLOps tools.
Bist du auf der Suche nach einem Arbeitsplatz, an dem positive Einstellung und Teamgeist groß geschrieben werden? Wir validieren und implementieren neue Technologien und entwickeln maßgeschneiderte Lösungen für unsere…
Мы формируем ядро команды, которая создает с нуля экосистему интеллектуальных агентов для автоматизации бизнес-процессов. Нам нужен универсальный специалист, способный вести фичи от проектирования базы данных до…
Lead a team of AI engineers in Gurgaon to design, build, and deploy production-grade GenAI and agentic AI solutions on GCP and Azure, ensuring scalability, security, and measurable business impact for global retail and brand clients.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
The Lead Engineer, Machine Learning will build and scale production-ready AI systems, managing the full model lifecycle from training to deployment. The role focuses on creating reliable, high-performance inference systems using Python, PyTorch, and JAX to power proactive, AI-native applications.
Designs and deploys AI agents (LLM/GPT-like models) to automate customer service workflows in a fintech contact center, focusing on dialog systems, recommendation engines, and NLP-based interfaces.
🚀 Be part of a movement to change the way Europe pays In today’s digital Europe, payments still feel too complicated. Random delays, confusing rules, extra apps and accounts make it harder than it should be to pay and…
Own the end-to-end ML model lifecycle—training data, fine-tuning, evaluation, and release—for an on-premise LLM system that runs on customer hardware inside OPSWAT's MetaDefender Core cybersecurity platform. Core tech: Python, LLM fine-tuning (LoRA/QLoRA), inference serving (vLLM, Ollama), and integration with a Rust production service.
Forward Deployed AI Architect embeds with clients to learn their workflows (e.g., insurance underwriting, healthcare revenue cycle) hands-on, then redesigns and builds production GenAI systems (LLM applications, agentic workflows) on AWS. Focuses on measurable business outcomes, evaluation-driven development, and long-term blueprint improvements.
Senior Data Scientist building an intelligent agents ecosystem from scratch at Sberbank, working across ML architecture, LLM/Vision specialization, enterprise RAG systems, and MLOps to deliver turnkey automation solutions for bank employees.
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