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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.
Build AI-driven internal tools (LLMs, RAG, Python/React) to automate sales research, risk assessment, and meeting summaries for a fintech company.
Build predictive models and A/B tests in Python/SQL to guide pricing, inventory and marketing decisions for a global fashion retailer.
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.
Design and implement AI/ML frameworks to support business decision-making using Python or R, statistics, and model evaluation.
Build and deploy large-scale AI/ML systems on Google Cloud, designing models and infrastructure for speech, reinforcement learning, or other ML domains to power Google’s products.
Build and deploy ML/AI models to extract insights and predict outcomes from large datasets using Python/R, then integrate them into business processes.
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Lead a team to integrate generative AI and LLMs into engineering practices, coach teams on safe AI use, and modernize SDLC with AI-first solutions.
Builds the core conversational analytics platform for education, designing full-stack features that let non-technical users query data with natural language and AI-driven text-to-SQL.
Design and deploy AI-powered solutions using Microsoft Azure AI services, building scalable models and integrating them into enterprise applications.
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Principal engineer builds and owns the AI and data platform that turns scientific data into reusable assets for model training, evaluation, and automated workflows in a secure, scalable environment.
Design and implement AI evaluation, orchestration, and verification workflows for a high-assurance agentic AI platform used in regulated industries.
Lead a new Singapore-based applied AI team to build production-grade generative AI and ML solutions for BNY’s enterprise platform, Eliza, from problem framing to deployment and governance.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Builds and evaluates AI models for stock-analysis software, using Python and SQL to process financial data and generate insights for product features.
Principal engineer builds and sets direction for AI/data infrastructure that turns scientific data into reusable assets for model training and automated workflows in Python.
Build and maintain AI Agent applications using LLMs for intelligent Q&A, task planning, and workflow automation in energy-storage systems.
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