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Mid-level metro role with niche PhD ML focus reduces broad applicant competition.
Role demands PhD and specialized ML/vision research experience, limiting transferability across industries.
PhD requirement, 5+ years experience, and specialized ML/vision skills enforce strict filtering.
Lead end-to-end AI/ML model research, development, deployment, and continuous improvement for mission-critical public safety products.
Optimize and tailor AI models, including Transformers and Vision-Language Models, for real-time and edge environments, ensuring high performance and scalability.
Collaborate with software engineers to integrate models into large-scale cloud and edge platforms, and establish rigorous evaluation frameworks for model benchmarking.
PhD degree in a technical field.
Minimum 5 years of professional experience in applied AI research.
Strong expertise in Transformer architectures and Vision-Language Models.
Proficient in Python programming and deep learning frameworks such as PyTorch.
Experienced in conducting research that translates into scalable, production-grade AI systems for public safety or security domains.
Skilled at optimizing models for real-time constraints and edge deployments, indicating familiarity with performance tuning in constrained environments.
Capable of collaborating across multidisciplinary teams, integrating AI models within enterprise-scale cloud and edge infrastructures.