Strong knowledge of cloud-based ML infrastructure (AWS, GCP, or Azure) and distributed data systems.
Familiarity with data security, privacy, and compliance (CJIS, GDPR, SOC2, etc.).
Proven ability to influence product and engineering teams through technical authority without direct management.
Responsibilities
Research, prototype, and deliver advanced machine learning and deep learning models for real-world production applications.
Own the full lifecycle of AI models: data acquisition, feature engineering, model design, evaluation, deployment, monitoring, and continuous improvement.
Establish and enforce best practices for MLOps, model governance, and responsible AI, ensuring compliance with enterprise and regulatory standards.
Partner with engineers to integrate models into production systems with an emphasis on performance, reliability, and explainability.
Collaborate with Product teams to translate business requirements into AI/ML technical roadmaps and deliverables.
Produce high-quality technical documentation, design artifacts, and knowledge transfer materials.
Evaluate and introduce new methods, frameworks, and technologies that keep the company at the forefront of AI innovation.
Other
Act as a senior IC and subject matter expert for AI/ML/LLM initiatives, setting technical direction in alignment with the Senior Director, Engineering.
Represent the Data Science team in customer and executive discussions, articulating technical details clearly and persuasively.
Excellent communication and presentation skills, including the ability to explain complex AI concepts to non-technical stakeholders.
