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Lead AI integration at a global bank, building LLM-powered features and GenAI agents to enhance financial applications and user workflows.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Build, deploy, and monitor ML models and MLOps pipelines on AWS for forecasting and GenAI apps in a biotech setting.
Build and ship full-stack web apps using React, Node.js/NestJS, and Python, while integrating AI tooling and LLM agents into products and workflows.
Build, train, and deploy AI models (ML, DL, generative, RAG, agents, computer vision) in Python, then wrap them in APIs for production use.
Build and operate AI-driven Digital Twin systems for electric vehicles, using Python, OpenModelica, and LLM tooling to simulate, test, and validate vehicle controls and infotainment before hardware is available.
Build and scale secure AWS infrastructure (EKS, Lambda, Terraform) for AI/ML workloads, automate CI/CD with GitLab, and run a centralized observability stack (Prometheus/Grafana) to support production LLM inference and vector databases.
Lead a team of ML engineers and architects at an AI-first cloud services company, owning hiring, team growth, and complex customer engagements while shaping AI/ML architectures and driving pre-sales.
Build and maintain AI agent toolkits that let models take real actions in enterprise systems, ensuring reliability, security, and governance for Fortune 100 deployments.
Lead generative AI and fraud-detection models at a global bank, building LLM apps, prompt engineering, and RAG pipelines to cut fraud losses and false positives.
Senior full-stack AI engineer building LLM-based agents and retrieval systems using RAG, embeddings, and vector databases with PyTorch and AWS Bedrock.
Designs and builds AI systems using LLMs, RAG, and OCR to automate workflows and enhance productivity, working with Python, Go, and cloud/AWS tools.
We are looking for an Automation Stream Lead to join our Automation team. The Automation team is responsible for building and scaling internal automation solutions that optimize business processes across Plata. We…
Builds cloud-native data pipelines and RAG architectures for LLM systems using Databricks, Spark, and vector search on Azure/GCP.
Design and build generative-AI systems using prompt engineering, agentic workflows, and RAG pipelines with Python, LangChain, and LlamaIndex.
Build and deploy enterprise-grade AI agents that integrate with regulated workflows, customize models for customer domains, and own production systems from prototype to scale.
Build and deploy AI-powered transport applications using LLMs, computer vision, and agentic systems to optimize Singapore’s land transport network.
At IONOS, the leading European provider of cloud infrastructure, cloud services and hosting services, you will work together with a wide range of teams. We are characterized by open structures, a friendly working…
Advise and enable engineering teams on AI adoption, focusing on LLM integration, RAG pipelines, and agentic architectures while ensuring reliability, observability, and governance compliance in healthcare AI systems.
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