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Build and deploy AI-powered applications using Azure AI services, RAG, and agentic frameworks like LangGraph to create intelligent, automated solutions for clients.
Build and deploy production-grade AI systems using LLMs, RAG, and multi-agent workflows to power enterprise applications at a major retailer.
Design and modernise a cloud-based data platform for a large online gambling operator, focusing on lakehouse architectures, Spark pipelines, and AI-driven personalisation while ensuring regulatory compliance.
Senior AI Engineer builds and deploys scalable machine-learning and LLM-powered solutions to transform products and operations, focusing on generative AI, retrieval-augmented generation, and cloud platforms.
Design and build AI-driven financial solutions for Morgan Stanley at Work, focusing on Generative AI enablement, LLM integrations, and data pipelines to support equity and retirement platforms.
Build and deploy AI systems using LLMs, RAG pipelines, and agent frameworks like LangChain and Hugging Face, then run them on cloud platforms such as AWS or Azure.
Lead enterprise AI engineering at a large utility: design scalable agentic and generative AI systems in Python/AWS Bedrock, set standards, and guide production deployment for safety, reliability, and operational efficiency.
Design and implement enterprise-grade MLOps/LLMOps pipelines on AWS SageMaker and EKS, focusing on model lifecycle management, CI/CD, monitoring, and governance for AI/ML systems.
Lead Novartis’s enterprise-wide deployment of generative AI and agentic systems, architecting secure, scalable solutions and coaching a global team to transform patient-focused workflows.
Stawka: 160–180 PLN/h Lokalizacja: Warszawa (hybrydowo, 1 dzień/tydz. z biura) S tart: ASAP Poszukujemy doświadczonego Inżyniera MLOps/LLMOps, który dołączy do zespołu budującego i utrzymującego nowoczesną platformę AI…
AI Architect (with Python) AI Architect: Lead end-to-end AI solution design and hands-on implementation in Python. Collaborate across teams to deliver secure, scalable Generative AI and ML solutions. About the role We…
Build and deploy LLM-powered applications for federal systems using RAG, vector databases, and AWS Bedrock/Python, focusing on scalable, secure GenAI solutions.
Lead a team of data analysts to build AI-augmented Power BI dashboards and SSAS Tabular models for commercial real estate analytics, using SQL, Snowflake, and Microsoft’s BI stack.
Builds and deploys production-grade GenAI systems: RAG pipelines, LLM integrations, and backend services in Python (FastAPI/Flask) on AWS.
Designs and implements enterprise-scale data, analytics, and AI solutions for public-sector and infrastructure projects, integrating platforms like Databricks/Snowflake with cloud services and LLMs.
Lead a team of senior data scientists to build and deploy generative AI systems that personalize wellbeing experiences for millions of users, focusing on LLM-based solutions and agentic workflows.
Build and maintain the AI/ML platform powering travel-experience recommendations and features using LLMs and traditional ML at scale.
AI Engineering Manager Location: Buenos Aires, Buenos Aires, ar, Remote Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data…
AI Engineering Manager Location: Santiago, Santiago Metropolitan Region, cl, Remote Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the…
Senior Data Scientist - AI Engineering Location: Hyderabad, TS, in Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data…
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