- Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.
- Act as an internal consultant across product, engineering, security, and research teams to scope problems and advise on AI best practices.
- Develop models for malicious behavior detection, anomaly detection, and fraud analysis using classical ML to LLMs, embeddings, and agentic workflows.
- Design robust experiments and evaluation pipelines for model reliability, accuracy, and business impact.
- Translate research insights into scalable APIs, tools, or workflows that enable other teams to adopt AI effectively.
- Communicate technical concepts and recommendations to technical and non-technical stakeholders.
- Partner with data governance to ensure compliance with data-privacy regulations and ethical standards.
PythonGitMachine Learning+5 more