Amazon EU SARL, Irish Branch
Technology
MachineLearningSoftwareDevelopmentEngineer,AIOpsIntegration
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Software Development Engineer, AI Ops Integration at Amazon EU SARL, Irish Branch. Skills: Machine Learning, LLM, AI Ops, Software Development. Build ML/LLM-powered features. Deploy ML/LLM-powered features”
What You'll Achieve.
Transform operations into AI-Native; Deliver AI solutions; Solve operational challenges; Automate decision-making; Solve impactful problems; Influence how Amazon Operations leverages AI
Industry & Context.
Solve operational challenges; Deal with ambiguity
What They're Looking For.
Must Have
Bachelor's degree or equivalent, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Experience in professional software development, Experience designing systems, Experience architecting systems, Experience programming with at least one software programming language
Nice to Have
Experience with full software development life cycle, Experience working with AI systems, Experience evaluating AI systems, Experience with Machine Learning fundamentals, Experience with Large Language Model fundamentals, Experience with vLLM, Experience with SGLang, Experience with TensorRT, Experience in machine learning, Experience in statistics, Experience in deep learning, Experience in natural language processing, Experience in information retrieval, Experience with feature delivery, Experience with operations, Experience with supply chain, Bachelor's degree in computer science, Bachelor's degree in mathematics, Bachelor's degree in statistics, Bachelor's degree in machine learning, Bachelor's degree in quantitative field, Experience with AWS services, Experience in IT platform implementation, Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science, Experience communicating across technical audiences, Experience communicating across non-technical audiences, Experience communicating with executive level stakeholders, Experience communicating with clients, Experience using data to measure impact, Experience using metrics to measure impact, Experience using data to determine improvements, Experience using metrics to determine improvements
What You'll Do.
Build ML/LLM-powered features
Deploy ML/LLM-powered features
Implement AI agent components
Automate operational workflows
Develop internal front-end applications
Make AI outputs accessible
Build integrations across internal APIs
Build integrations across databases
Build integrations across MCP servers
Enable multi-system orchestration
Contribute to ML lifecycle
Implement guardrails for AI systems
Implement evaluation frameworks for AI systems
Implement human-in-the-loop patterns
Collaborate with operations teams
Collaborate with program managers
Collaborate with product managers
Collaborate with scientists
Translate requirements into software
Research state-of-the-art tools
Tackle highly ambiguous problems
How You'll Work.
Team & Collaboration
Cross-functional team; Operations partners; Scientists; Program managers; Product managers
Communication Scope
Communicating across audiences
Process & Methodology
Build-measure-learn cycle
Full Job Description
As part of AI Operations Integration, we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain. As a Machine Learning Software Development Engineer, you'll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale. This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark. Key job responsibilities What you'll do: • Build and deploy ML/LLM-powered features across the full stack - from data pipelines and model serving to user-facing internal tools • Implement AI agent components that automate complex operational workflows across multiple systems and decision points • Develop internal front-end applications (dashboards, tools, products) that make AI outputs accessible to non-technical operations users at scale • Build integrations across internal APIs, databases, and MCP servers to enable multi-system orchestration • Contribute to the ML lifecycle: data pipelines, experimentation, deployment, monitoring, and evaluation • Implement guardrails, evaluation frameworks, and human-in-the-loop patterns for production AI systems • Collaborate with operati
Applying for this Machine Learning Software Development Engineer, AI Ops Integration role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon EU SARL, Irish Branch?
Real rants from real employees. Read before you apply.