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Designs and maintains AI-driven data pipelines and MLOps infrastructure using Python and big data tech to power analytics and BI solutions.
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Build and deploy production-grade generative AI and unstructured-data pipelines, including RAG, embeddings, and LLM-powered APIs, using Python, FastAPI, and cloud MLOps tooling.
Builds and deploys generative-AI systems that create culinary content for HelloFresh’s chefs, using Python/SQL and MLOps tools like MLFlow and Prefect.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Senior ML Engineer builds and fine-tunes AI models for financial services, from data prep to serving, using Python/R and PyTorch/TensorFlow.
Build and deploy ML systems for crypto-exchange compliance, including AML monitoring and KYC risk scoring, using on-chain and fiat data with LLM-assisted tooling.
Principal ML Engineer at Grab’s AI Platform team, building and scaling ML infrastructure for Southeast Asia’s superapp, including LLM training/serving, fraud detection, and search ranking.
Build and operate an internal AI platform for LLM and agentic applications, including retrieval, deployment, and monitoring, using Python, FastAPI, and cloud services.
Build and maintain an internal AIOps/ML/LLM platform, including Kubernetes infrastructure, ML workflows, and production deployment for cybersecurity use cases.
Design and deploy AI-powered computer vision systems to inspect jet engine components, collaborating with global teams to integrate models into production software.
Build and deploy ML models for finance using Python, Spark, and cloud tools; collaborate with data scientists to turn business needs into scalable AI solutions.
Build and scale ML models for PayPal’s global payments platform, focusing on fraud detection, risk modeling, and personalized financial services.
Designs and maintains AWS-based CI/CD pipelines and infrastructure for a wealth-management project using Terraform, Docker, and Kubernetes.
Develop, train, and integrate AI/ML models for government systems using Python, TensorFlow, and PyTorch, ensuring compliance with DoD cybersecurity and responsible AI policies.
Build and deploy ML models to optimize Tennant’s cleaning equipment and sustainability initiatives using Python, TensorFlow, and cloud platforms.
Lead ML engineering for edge AI that monitors vehicle health in real time, building pipelines to train and deploy models on constrained in-vehicle devices.
Lead a team of AI/ML scientists and engineers to build agentic workflows and reasoning engines for Pipedrive’s AI-native CRM, shipping production-grade models that drive customer value from structured and unstructured data.
Lead edge AI development for in-vehicle health monitoring and prediction, optimizing ML models for embedded hardware and deploying them on resource-constrained devices.
Build and deploy ML and generative AI models for manufacturing use cases like predictive maintenance and quality control, working with Python, PyTorch, and RAG pipelines in a hybrid Limerick role.
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