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DAP Platform Solution Architect
The DAP Platform Solution Architect is a strategic technology leader responsible for defining, evolving, and governing the architecture of the Digital Assistant Platform. The role combines expertise in cloud…
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Lead a team of engineers deploying bespoke generative AI solutions directly in customer environments, coding, debugging, and mentoring to solve enterprise-grade AI challenges.
(AI) Solutions Architect
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Staff Software Engineer, Generative AI Blackbelt Team
Build and lead AI systems using generative models and Vertex AI to deliver scalable solutions for enterprise customers across industries.
Staff Software Engineer, Generative AI Blackbelt Team
Staff engineer on Google’s Generative AI Blackbelt team building and deploying AI/ML solutions for customers across industries using Vertex AI and automation tools.
Conversational AI Engineer
Build and maintain AI-powered conversational agents using Google Dialogflow CX and Vertex AI to handle customer travel queries and bookings.
Data Scientist
Build and deploy production-grade ML models for customer segmentation, demand forecasting, and targeted campaigns in a large UK retail company undergoing AI transformation.
AI LLM Engineer - Autonomous Network - London
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Lead AI Engineer - London
Lead AI Engineer designs, builds, and deploys enterprise-scale AI/ML and Generative AI systems, including RAG pipelines and agentic workflows, across Azure, GCP, or AWS.
Generative AI Forward Deployed Engineer, Google Cloud
Build and deploy production-grade generative AI systems for enterprise customers, coding agentic workflows and integrating them with live infrastructure using Google Cloud’s AI stack.
Senior full stack developer
Build and ship end-to-end products in Python (FastAPI) and React/TypeScript, integrating AI features and deploying on GCP/AWS while owning the full stack from design to production.
Lead Data Scientist
Lead hands-on Data Scientist to build and launch the company’s first ML product—personalization and recommendation systems—then scale the Data Science function across e-commerce use cases like forecasting and optimization.
Data Scientist - AI Search & Ranking
Build and deploy AI-powered search and ranking systems for trivago’s hotel metasearch engine, handling multilingual queries, semantic retrieval, and personalised results to drive conversions.
Senior Cloud Architect, Delivery (GenAI)
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Senior Cloud Architect, Delivery (GenAI) - Portugal
Design and deploy production-grade GenAI and ML solutions on AWS for enterprise customers, focusing on cost efficiency, reliability, and security while creating reusable patterns and driving product adoption.
Technical Program Manager, Data Center Networking
Lead multi-disciplinary programs to design and deploy Google’s data center networking infrastructure, ensuring scalable, high-availability systems powering AI/ML, Cloud, and global services.
Senior Design Verification Engineer, Silicon, Google Cloud
Design verification engineer building and validating custom TPU silicon for Google’s AI/ML workloads using SystemVerilog and UVM.
Remote DevOps/MLOps Engineer
Designs and maintains CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for ML and general apps, automating deployments and monitoring systems.
AI Data Platform Engineer — BigQuery & Infra
Owns and scales Dialpad’s AI data infrastructure in Buenos Aires, managing BigQuery, cloud storage, Vertex AI pipelines, and Dataform to deliver clean, analytics-ready datasets for AI and product teams.
Senior Data Scientist — Remote ML Engineer (Production)
Senior Data Scientist builds, deploys, and maintains production ML models in a cloud-native environment, creating data pipelines and collaborating with engineering and business teams.