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Design and deploy scalable AI/ML systems, including generative AI solutions with RAG and embeddings, to solve complex business problems and drive measurable impact.
Build and optimize cloud-native data pipelines on GCP to power AI, ML, and analytics products used by millions of banking customers.
Lead a team building scalable AI and data platforms for enterprise clients, designing cloud-native architectures, MLOps pipelines, and generative-AI solutions using Python, Spark, and cloud stacks like AWS/Azure.
Build and maintain scalable data pipelines, AI/ML Ops, and full-stack platforms for a global bank, ensuring data quality, governance, and security across hybrid cloud architectures.
Designs and builds scalable data pipelines and AI/ML platforms for financial analytics using Python/Java and cloud tools like Snowflake and EMR.
Develops and maintains AI models and data pipelines for mobile game publishing, integrating LLMs and transformer-based systems into scalable game and embedded solutions.
Build and deploy AI/ML models and RAG systems in AWS GovCloud for secure government workflows, using Python and FedRAMP-authorized services while ensuring compliance and Zero Trust security.
Design and implement enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows to deliver scalable analytics and data products for business functions like Finance and HR.
Build predictive models, dashboards, and analytics pipelines using Python/R, Databricks/Dataiku, and Power BI/Tableau/BigQuery/Snowflake to turn business data into actionable insights.
Job Summary PwC Ireland – Bring Your Talent, Grow Your Skills, Unlock Your Potential Our Data & AI Consulting team leverages technology to solve complex business problems for clients across financial services,…
Build and deploy LLM-driven AI agents and generative solutions using Azure OpenAI, LangChain, and Hugging Face, focusing on RAG pipelines, multi-agent systems, and responsible AI.
Lead AI engineering and architecture for financial-services clients, designing GenAI and multi-agent systems, deploying RAG pipelines, and aligning solutions with EU regulations and enterprise standards.
Build and deploy enterprise-grade AI systems for clients, leading from prototype to production with LLMs, RAG, agents, and MLOps in regulated environments.
Senior AI engineer embeds and deploys enterprise-grade AI systems for clients, building LLM/RAG pipelines, agents, and ML models while navigating compliance and legacy systems.
Build and maintain data pipelines, analytics, and AI solutions using SQL, Python, and visualization tools like Power BI for enterprise clients.
Designs and implements cloud/hybrid data pipelines, advanced analytics, and AI-driven solutions (e.g., ML models, dashboards) to transform raw data into actionable insights for enterprise clients. Core tech: Azure/AWS/GCP, Python/SQL, Spark, Kafka, and Azure OpenAI.
Designs and maintains scalable data pipelines in Databricks, deploys ML models with MLflow, and builds Power BI dashboards to support analytics and reporting.
Designs and maintains scalable GCP data pipelines and warehouses using BigQuery, Dataflow, and Airflow to enable analytics and ML workflows.
Designs, optimizes, and monitors enterprise data and ML pipelines in Databricks, supporting analytics, model deployment, and reporting for AI-driven products.
Senior Data Engineer designs and governs enterprise-scale data platforms, virtualization layers, and real-time pipelines using Denodo, Qlik Talend/Replicate, and IBM WatsonX Orchestrate.
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