Top AI & Machine Learning Jobs

Lead design and delivery of retrieval-augmented generation and agentic AI solutions: translate stakeholder needs into data science and retrieval problem statements, build ML and retrieval models, design RAG patterns, ensure secure enterprise data access and governance, evaluate retrieval and grounding quality, and integrate retrieval systems with orchestration and platform components.

Lead end-to-end delivery of AI initiatives: scope, prioritize, and launch production solutions. Establish delivery standards, align cross-functional teams, manage risks, and monitor post-launch outcomes. Partner with architecture, engineering, and security to define scalable AI implementations. Conduct discovery with business stakeholders, set success criteria, and coach AI delivery resources to ensure predictable, high-quality execution.

Develop and deploy data analytics and visualization solutions using Python; automate data capture and KPI tracking across distributed systems; maintain data quality and documentation; analyze system performance, recommend optimizations, and support system design, upgrades, and migrations.

Build, deploy, and operate secure, scalable AI/ML platform capabilities across on-premises, hybrid, and cloud environments. Design data pipelines, MLOps workflows, CI/CD/GitOps, containerized deployments, observability, and infrastructure-as-code. Apply DevSecOps practices, troubleshoot distributed systems, and collaborate with engineers, data scientists, and security teams to productionize models and support generative AI and ML workloads.

The AI Integrator role focuses on program coordination, facilitating communication on AI initiatives, and aiding in strategy development for GTE & GSE, enhancing collaboration and knowledge sharing across engineering teams.

Develop, deploy, and maintain AI/ML pipelines and applications for aircraft manufacturing and factory digitalization. Build software verification systems compliant with aviation safety. Deploy models to production, manage CI/CD and monitoring, and collaborate within an international team.