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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning models, particularly transformer-based models, while effectively collaborating with cross-functional teams to drive strategic initiatives and optimize system performance.
Highest-signal resume keywords
Machine Learning ModelingAI EngineeringLarge Language ModelsEnd-to-End ML/AI DeploymentCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningNatural Language ProcessingPrompt TuningData EvaluationProductionizationMetrics MonitoringTransformer-Based ModelsBatch ProcessingReal-Time ProcessingAPI Integration
Soft Skills
Curious MindsetGrowth-Oriented ThinkingInfluencing SkillsStrategic Roadmap Ownership
Tools & Technologies
Python ML StackPyTorchSnowflakeAirflowGCPAWSClaude CodeCodexOpenclaw
Certifications & Qualifications
Masters DegreeAdvanced Degree in Computer ScienceAdvanced Degree in Data ScienceAdvanced Degree in Operations ResearchAdvanced Degree in Applied MathAdvanced Degree in StatisticsAdvanced Degree in Physics
Industry Keywords
AI CopilotAutopilot SystemsAnalyst ProductivityData SourcesUser Profile InformationConnected UsersAsset GraphsUnstructured Text Data
Tech Stack
Tools & technologiesAirflowAWSCloudGoogle Cloud PlatformPythonPyTorchSnowflake
About the role
Key responsibilities & impact- Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops
- Own the end-to-end system, including API calls to disparate data sources, advanced prompt tuning, orchestration, metrics and evaluation, productionization, and monitoring
- Leverage payment transactions, connected users and asset graphs, unstructured text data, and user profile information to build transformer-based ML models for downstream detection tasks
- Work cross-functionally with product, platform, engineering, and operational stakeholders to deploy production-grade systems and monitor and tune ongoing performance
- Use Python ML stack, LLMs, PyTorch, Snowflake, Airflow-based tools, data platform, and GCP and AWS cloud services
- Use agentic tools such as Claude Code, Codex, and Openclaw for research, development, DevOps, and documentation
- Own and drive strategic roadmaps and priorities to completion in a senior individual contributor role
Requirements
What you’ll need- 8+ years of Machine Learning modeling experience
- A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field
- 3+ years experience with AI engineering and Large language models
- Background in traditional NLP techniques is a strong plus
- End-to-end experience building and deploying ML/AI to production systems (batch and real time) performant at scale
- Experience independently owning, influencing and driving programs with multiple cross-functional stakeholders and significant business impact
- Curious, growth-oriented mindset and ability to think in first principles
- Ability to work from any location in the United States and Canada
Benefits
Comp & perks- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
- Reasonable accommodations throughout the recruitment process