Greg Buckley

ML Engineer

https://talent.gravityer.com/greg-buckley

Machine Learning Engineer at Roche

Key Strengths

Extensive experience in Machine Learning and AI engineering roles, directly aligning with the ML Engineer target role.
Proven track record in designing and implementing end-to-end ML solutions, including data processing, model development (XGBoost, CNN, MLP, LSTM, ARIMA), and deployment (Azure resources).
Strong background in NLP, including integrating embedding models, RAG within LLM chat applications, semantic search, and ASR pipeline development.
Experience with large-scale data processing using Spark and managing vector database infrastructure.
Demonstrated leadership and mentorship capabilities, including patent ideation, presenting at conferences, and involvement in hiring.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's career progression within Optum (Associate AI Engineer to Senior AI Engineer) demonstrates loyalty and growth within a large organization. Their involvement in internal conferences, workshops, and patent filing indicates a proactive and innovative mindset. The diversity of projects, from patient risk identification to demand forecasting and cybersecurity anomaly detection, shows adaptability and a broad interest in applying AI across different domains. The certifications in Data Engineering, NLP, Deep Learning, and Machine Learning Engineer nanodegrees from Udacity indicate a commitment to continuous learning and skill development, which aligns well with a culture of innovation and growth.

Soft Skills & Operational Fit

The candidate's experience at Optum highlights strong collaboration with stakeholders, requirement gathering, and presenting to high-level executives, indicating good communication and presentation skills. Involvement in team best practices, mentorship, and hiring suggests a proactive and team-oriented approach. The description of working in a fast-paced, high-pressure environment (Bar and Serving Staff) also hints at resilience and operational adaptability.

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About

Senior AI Engineer who is passionate about applying both engineering and AI skills to deliver data-driven solutions using the latest technologies. Currently working in the leading Artificial Intelligence team for a major US healthcare provider. The team is composed of ~100 employees with the mission to implement AI solutions to improve processes in areas including clinical, claims, contact center services, and cyber-security. I utilize Udacity nano-degrees, Kaggle competitions and attend conferences as methods of staying up to date with the industry leading technologies.

Top Skills

JavaC++XMLJavaScriptPythonEthereumBlockchainHTMLLinuxSeleniumVhdlHaskellAtlassianMachine LearningTensorFlowNatural Language Processing (NLP)KerasData AnalysisRDeep LearningForecastingHadoopSQLWeb DevelopmentApache Spark

Experience

Roche

Machine Learning Engineer

May 1, 2024 – Present

Basel, Switzerland · On-site

Optum

Senior AI Engineer

July 1, 2021 – October 1, 2023

Optum

AI Engineer

July 1, 2019 – July 1, 2021

Optum

Associate AI Engineer

September 1, 2017 – July 1, 2019

PADDYPOWER

QA Automation Engineer

June 1, 2015 – August 1, 2015

County Dublin, Ireland

Caritas Convalescent Centre

Reception

September 1, 2014 – September 1, 2017

Dublin

Against The Grain, Urban Tavern.

Bar and Serving Staff

May 1, 2014 – August 1, 2014

Toronto, Canada Area

Certifications

Data Engineering - Nanodegree

Udacity

June 24, 2026 – Present

Deep Learning - Nanodegree

Udacity

June 24, 2026 – Present

Machine Learning Engineer - Nanodegree

Udacity

June 24, 2026 – Present

Natural Language Processing - Nanodegree

Udacity

June 24, 2026 – Present

Key Strengths

Extensive experience in Machine Learning and AI engineering roles, directly aligning with the ML Engineer target role.
Proven track record in designing and implementing end-to-end ML solutions, including data processing, model development (XGBoost, CNN, MLP, LSTM, ARIMA), and deployment (Azure resources).
Strong background in NLP, including integrating embedding models, RAG within LLM chat applications, semantic search, and ASR pipeline development.
Experience with large-scale data processing using Spark and managing vector database infrastructure.
Demonstrated leadership and mentorship capabilities, including patent ideation, presenting at conferences, and involvement in hiring.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Greg Buckley

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Certifications

Key Strengths

Cultural & Operational Fit