Open to opportunities

George Dowling

@georgedowling

Message

Senior Data Scientist and AI Software Engineer specializing in production-grade ML systems and MLOps.

United States

Message

What I'm looking for

I seek senior roles building production ML/AI systems with strong MLOps, experimentation rigor, and governance in collaborative, impact-driven teams.

I am a Senior Data Scientist and AI Software Engineer with a decade of experience designing and deploying enterprise-scale machine learning systems that power real-time decision engines, personalization platforms, risk scoring models, and LLM-driven applications. I translate ambiguous business problems into statistically rigorous, production-grade AI solutions—delivering measurable impact across accuracy, scalability, latency, and governance.

My expertise spans Bayesian inference, supervised and unsupervised learning, experimentation design, agentic AI architectures, and full lifecycle MLOps across regulated, high-volume environments. I have led teams to build monitoring and observability frameworks, automated retraining pipelines, CI/CD for ML, and LLM-powered analytics copilots while mentoring engineers and aligning technical work to strategic product goals.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Hulu

Jul 2023 - Present (2 years 8 months)

Led development and deployment of real-time personalization and streaming decision systems, improving model-driven engagement KPIs by double-digit percentages and reducing production incidents via observability and retraining pipelines.

MLOps CI CD For ML

Senior Data Scientist

IBM

Jan 2019 - Jun 2023 (4 years 5 months)

Led enterprise-scale fraud detection and healthcare automation platforms, reducing false positives and improving interpretability while implementing CI/CD and governance practices for regulated clients.

Fraud Detection Risk Scoring CI CD For ML NLP Model Governance

Data Scientist

Symufolk

May 2018 - Dec 2018 (7 months)

Designed predictive models and experimentation programs for marketplace optimization, implemented anomaly detection and automated retraining to maintain model performance consistency.

predictive modeling Experimentation Design Anomaly Detection Data Validation Monitoring Analytics

Data Scientist

SwagUp

May 2017 - Apr 2018 (11 months)

Built probabilistic demand forecasting and clustering models to improve inventory allocation and targeted marketing, and implemented data quality checks and retraining triggers for deployed models.

regression Clustering Experimentation Data Quality