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Mid-level ML role, metro location, and broad CV+production skillset increase applicant competition.
Specialized computer-vision, CUDA, and real-time video production experience limits cross-industry transferability.
Explicit 4–6 years plus CUDA, CV, production deployment and ML stack requirements indicate stringent technical filters.
Design, develop, and deploy AI/ML solutions with direct ownership of key machine learning components or features, ensuring production-quality models with high performance.
Translate research ideas into efficient, scalable, and maintainable solutions that impact business outcomes, including creation of reproducible pipelines and workflows.
Collaborate cross-functionally to optimize production efficiency and contribute to documentation and operational excellence without supervision.
4 to 6 years of experience in AI/ML engineering or a similar role managing complex technical projects.
Proficiency with AI/ML frameworks (PyTorch, TensorFlow), programming languages (Python, C/C++, CUDA), and relevant tools (Linux, Docker, Kubernetes, CI/CD).
Bachelor's or Master's degree in Engineering, Computer Science, Machine Learning or a related field preferred.
Experience in moving ML models from research to production considering latency and scalability.
Experienced in independently owning and delivering advanced machine learning features with a focus on business impact.
Strong analytical and experimental design skills, capable of presenting results clearly and integrating research into production systems.
Comfortable working in a cross-functional environment with an emphasis on scalable, efficient AI/ML solutions aligned with overall project goals.