Conseiller en IA et innovation numérique pour l’Université Canadienne de Kinshasa. Formation, mentorat et accompagnement de projets numériques à distance.
About the role
- Senior ML/AI Modeler building agentic and generative AI systems for Block’s payment and financial technology brands. Automating fraud and compliance investigations at scale.
Responsibilities
- 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
- 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
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
- Reasonable accommodations throughout the recruitment process
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