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Data Science & AI Delivery Lead
Lead AI delivery at an insurance firm: oversee GenAI/RAG projects, Python-based ML development, MLOps, and team operations while driving production deployments on Azure.
Senior AI Engineer
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Quality Assurance Automation Engineer
Build and maintain AI-powered QA automation frameworks using Selenium, Java, and REST APIs to test web apps and APIs in CI/CD pipelines.
Technical Delivery Manager - AI
Lead AI delivery for a Fortune 100 retail client, managing cross-functional teams to deploy generative AI and ML solutions across customer service, marketing, supply chain, and commerce.
AI Infrastructure Engineer
Build and run a production-grade agentic platform on Kubernetes using Go and Python, integrating AI agents with enterprise tools, memory, and security layers.
AI Solutions Developer - (GenAI / OpenAI)
Build and integrate GenAI features using OpenAI APIs to auto-generate audit-ready client summaries from structured data for financial-crime compliance, focusing on prompt engineering, backend integration, and responsible-AI guardrails.
Lead AI Engineer
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Staff Software Engineer (Machine Learning Platform)
Lead the design and architecture of Stripe’s ML Platform, building scalable systems for training, serving, and monitoring ML models that power fintech products like Payments and Radar.
Specialist Data Science and AI
Builds and deploys ML/AI models to predict railway equipment failures, optimize maintenance, and improve safety using Python, cloud tools, and time-series data.
AI Native Engineer
Build and own AI-powered automation for internal workflows: map processes, design agentic or deterministic solutions, ship production tools, and continuously improve them using LLMs and orchestration frameworks.
Senior Cloud Engineer AI
Design and build secure, compliant AI/ML platforms on AWS and Azure for a large bank, including MLOps pipelines, guardrails, and observability for regulated environments.
Sr. Software Engineer, GenAI
Build and ship agentic LLM systems, RAG pipelines, and evaluation frameworks to power grant discovery and fundraising automation for nonprofits.
AI Engineer
Build and deploy AI-powered banking and fintech solutions using LLMs, Python, and Java, focusing on conversational interfaces, automation, and data pipelines for regulated financial institutions.
Full-Stack Mobile Developer — iOS, Android & Web
Build and maintain Dryads’ cross-platform mobile apps (iOS/Android) and web components using React, Capacitor, Firebase, and Mapbox, focusing on AI features, offline mapping, and subscription systems.
Senior Backend Engineer
Hello, we’re Instrumentl. Nonprofits do some of the most important work in the world, and most of them are still managing grants in spreadsheets. We’re fixing that. Instrumentl is a profitable, hypergrowth, YC-backed…
AI-Driven Full-Stack Python Engineer
Build and deploy AI-powered Python full-stack applications, integrating LLMs, APIs, and MCP workflows to connect AI systems with customer platforms and data sources.
Automation Developer - Junior to Mid-Level
OneBlink is an Australian owned software company, based in Gosford on the beautiful NSW Central Coast. We create and market the OneBlink Low-code Suite, a no/low-code application builder that government clients use to…
Ai Platform Engineer – Scale Secure Data/Ml Infra - €141.000 - €226.000 A Year
Build and maintain scalable AI platforms on Kubernetes, wrapping managed AI services behind secure APIs with strict compliance and auditability for a global insurer.
Ai Engineer
Build and deploy end-to-end AI applications using LLMs and GenAI, integrating with Azure AI and Azure OpenAI, while following DevOps practices in Python.