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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.
Design and maintain Azure CI/CD pipelines, infrastructure-as-code with Bicep/ARM, and automate deployments using PowerShell, Python, or Bash while integrating MLOps and cloud-native data platforms.
Design and lead production ML and generative AI platforms on Microsoft Azure and Fabric, defining MLOps, LLMOps, and enterprise-scale AI architectures for client organizations.
Own and automate cloud infrastructure, CI/CD, and Kubernetes clusters for global clients using AWS/Azure/GCP, Terraform, and GitOps.
You'll join a company where your work has visible impact from day one. You'll work directly with world-class engineers, scientists, aerospace experts and entrepreneurs building technologies that have never…
Build and maintain ML pipelines, backend systems, and cloud-native infrastructure to deploy and monitor AI-driven tools that optimize infrastructure design and reduce CO₂ in the built environment.
Build AI/ML models that optimize infrastructure design and reduce CO₂ in the built environment using Python and frameworks like PyTorch or TensorFlow.
Build and deploy NLP models (Transformers, LLMs) for text analysis, RAG, and multi-agent systems on a cloud-native data-processing platform handling 10M events and 10TB daily.
Selecty — аккредитованная IT-компания, оказывающая услуги в сфере IT-аутсорсинга. Работаем на рынке более 10 лет, с 2013 года успешно решая задачи любой сложности в рамках цифровой трансформации для крупного бизнеса.…
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