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Principal Data Scientist builds and evaluates Elastic’s conversational AI platform, improving RAG, agent routing, and retrieval quality for grounded, reliable answers from Elasticsearch data.
Build and scale AI infrastructure for industrial automation, bridging research and production with MLOps and distributed systems.
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.
Lead the design and delivery of LLM-powered and agentic AI workflows for JPMorganChase’s internal employee platforms, integrating AI safely into enterprise systems while ensuring reliability and compliance.
Design and deploy AI/ML solutions for enterprise clients, including custom models, GenAI/LLMs, and scalable MLOps pipelines in cloud environments.
Designs, builds, and deploys AI/ML models for industrial use cases like predictive maintenance and computer vision, using Python frameworks and cloud platforms.
Build and ship end-to-end AI features that turn model capabilities into reliable, real-world user workflows using Python, PyTorch/JAX, and vector DBs.
Build production ML systems to predict cybersecurity threats and prioritize risks using predictive models, large datasets, and MLOps pipelines.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and deploy AI/ML features using Python, PyTorch, and TensorFlow, and create scalable APIs for a travel-focused product.
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Build and secure Lightning AI’s platform for developing, training, and deploying AI systems, focusing on PyTorch Lightning and production-grade security tooling.
Build and deploy LLM-based AI solutions for customer support, including voice/text agents, while optimizing ML infrastructure and MLOps pipelines on AWS/Databricks.
Build a full-stack veterinary platform with React/React Native frontends, Node.js/Python backends, and AWS cloud infrastructure, integrating AI diagnostics and analytics.
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Build AI-powered creative tools and intelligent workflows, integrating LLMs and multimodal AI into production systems using Swift, C#, Python, and Azure.
Build cloud-native infrastructure and scalable pipelines to train and deploy large AI models for drug discovery and biomedical research using Python, PyTorch/TensorFlow, and AWS/GCP/Azure.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Build and integrate computer-vision models into client stacks using PyTorch, OpenCV, and Gradio; prototype cutting-edge algorithms and ship them in Datature’s MLOps platform.
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