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Job Title: Applied Scientist / ML Engineer We are looking for a hands-on Applied Scientist / ML Engineer to support the development and improvement of AI/ML solutions, with a strong focus on Large Language Models,…
Job Title: Assistant Vice President, Generative AI We are seeking a highly motivated and experienced Assistant Vice President (AVP) to lead and drive innovation in the field of Generative AI. In this role, you will be…
Who we are Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for…
Lead end-to-end Generative AI missions for clients, from POC to production. Responsibilities include building autonomous agents, RAG pipelines, and LLM deployments using tools like LangGraph, Docker, and Kubernetes while managing AI infrastructure costs.
We are seeking a skilled Generative AI Engineer to join our team at Mumbai , where you will harness model capabilities to implement cutting-edge algorithms and solutions across myriad industries. You will serve as a…
AmeriSave Mortgage Corporation is a leading fintech lender transforming the way people finance their homes. With a strong foundation in digital innovation, AmeriSave is expanding beyond mortgages to offer home equity…
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. We are looking for a highly autonomous AI/ML Engineer to design, build, deploy, and operate end-to-end AI/ML and…
Designs and deploys production-grade generative AI solutions (LLMs, RAG, AI agents) for enterprise clients, using frameworks like LangChain and cloud platforms like Azure OpenAI, with a focus on scalability, security, and cost efficiency.
Build and deploy generative AI products using LLMs, RAG, and fine-tuning; design prompts, evaluate models, and ship cloud-native APIs with Python and Kubernetes.
Build and refine NLP models and generative AI systems that understand human language, from classic ML to LLMs and RAG pipelines, while collaborating with cross-functional teams to deploy solutions in production.
Build and scale an agentic AI platform for the global hospitality industry, designing multi-agent workflows, LLM pipelines, and a data lake to automate MICE processes and power predictive revenue tools.
Lead a team building autonomous AI agents and LLM applications using frameworks like LangChain and LangGraph, integrating them with enterprise systems and optimizing performance for client projects.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like…
FS Technology Consulting - AI and Data - AI Architecture & Engineering Lead - Senior Manager - Dublin Location: Dublin 2 Available for VISA Sponsorship: Yes Business Area: Data & Analytics Contract Type: Full…
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like…
Build and maintain the AI compute and data infrastructure for training and fine-tuning large-scale models, including storage systems and secure data access pipelines.
Lead AI engineering and architecture for financial-services clients, designing GenAI and multi-agent systems, deploying RAG pipelines, and aligning solutions with EU regulations and enterprise standards.
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Mid-level AI developer building and integrating locally hosted LLMs and ML models into classified government systems, focusing on secure, air-gapped environments and production-grade AI features.
Lead AI engineering for classified systems: design, deploy, and secure LLMs and ML models in air-gapped environments while aligning with government accreditation and responsible-AI practices.
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