Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Principal AI/ML engineer designing and delivering enterprise AI services with a focus on LLM/NLP product capabilities, scalable cloud delivery, and clear stakeholder communication. Experienced across customer-facing support, data platform environments, ML platforms, and cloud-native AI services. At Oracle, translates stakeholder requirements into architecture, model behavior, business-semantic tests, safety constraints, and delivery trade-offs for AI-assisted CRM/CSP workflows. Comfortable balancing trade-offs across users, engineering, platform, and operations with practical, direct communication.…Principal AI/ML engineer designing and delivering enterprise AI services with a focus on LLM/NLP product capabilities, scalable cloud delivery, and clear stakeholder communication. Experienced across customer-facing support, data platform environments, ML platforms, and cloud-native AI services. At Oracle, translates stakeholder requirements into architecture, model behavior, business-semantic tests, safety constraints, and delivery trade-offs for AI-assisted CRM/CSP workflows. Comfortable balancing trade-offs across users, engineering, platform, and operations with practical, direct communication.

Daniel Tibor Ritter

AI Engineer, AI Developer, AI Strategy Consultant, +2





Principal AI/ML engineer designing and delivering enterprise AI services with a focus on LLM/NLP product capabilities, scalable cloud delivery, and clear stakeholder communication. Experienced across customer-facing support, data platform environments, ML platforms, and cloud-native AI services. At Oracle, translates stakeholder requirements into architecture, model behavior, business-semantic tests, safety constraints, and delivery trade-offs for AI-assisted CRM/CSP workflows. Comfortable balancing trade-offs across users, engineering, platform, and operations with practical, direct communication.…Principal AI/ML engineer designing and delivering enterprise AI services with a focus on LLM/NLP product capabilities, scalable cloud delivery, and clear stakeholder communication. Experienced across customer-facing support, data platform environments, ML platforms, and cloud-native AI services. At Oracle, translates stakeholder requirements into architecture, model behavior, business-semantic tests, safety constraints, and delivery trade-offs for AI-assisted CRM/CSP workflows. Comfortable balancing trade-offs across users, engineering, platform, and operations with practical, direct communication.

Available to hire

Principal AI/ML engineer designing and delivering enterprise AI services with a focus on LLM/NLP product capabilities, scalable cloud delivery, and clear stakeholder communication. Experienced across customer-facing support, data platform environments, ML platforms, and cloud-native AI services.

At Oracle, translates stakeholder requirements into architecture, model behavior, business-semantic tests, safety constraints, and delivery trade-offs for AI-assisted CRM/CSP workflows. Comfortable balancing trade-offs across users, engineering, platform, and operations with practical, direct communication.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Hungarian

Fluent

English

Advanced

German

Advanced

Work Experience

Principal AI/ML Engineer at Oracle

January 1, 2026 - Present

Designed and developed internal AI services for business users and customer-success stakeholders, focused on AI-assisted CRM/CSP workflows. Translated stakeholder requirements into scalable service designs, LLM/NLP model behavior specifications, business-semantic tests, safety constraints, and implementation priorities. Coordinated across CSP development, OCI GenAI platform, product, and business stakeholders to resolve trade-offs around model behavior, latency/cost, and enterprise data integration. Built and maintained enterprise-ready AI solutions with emphasis on safe AI guardrails and reliable delivery.

AI & MLOps Engineer at UNISYS

September 1, 2025 - December 1, 2025

Developed and experimented with knowledge creation over ITSM data by combining retrieval workflows, evaluation loops, and MLOps delivery practices. Focused on end-to-end operationalization patterns for ML/AI services, including evaluation and delivery practices for production readiness.

Machine Learning Engineer at EPAM Systems / Expedia Group

April 1, 2022 - August 1, 2025

Developed ML platform services and live prediction components powering Expedia Group customer-facing recommendation systems. Engineered ranking-model workflows and production ML delivery using Python, feature engineering, cloud services, Databricks, Airflow, CI/CD, Kubernetes, and Docker.

Data Engineer at Accenture

April 1, 2021 - April 1, 2022

Developed ETL pipelines for British Insurance, translating reporting requirements into Azure Databricks, SQL/data logic, and auditable stakeholder workflows.

Database Support Engineer at SAP

October 1, 2017 - April 1, 2021

Supported SAP HANA database/framework issues and communicated resolutions across development, support, and enterprise customer contexts.

Technical Support Specialist at UNISYS

January 1, 2013 - January 1, 2017

Delivered 1st/2nd level technical support for enterprise customers including Novartis, AbbVie, and Elekta; supported issue triage, resolution, and stakeholder communication in English and German.