Research, design, & implement advanced ML solutions; Develop & optimize embedded s/w components that integrate ML algorithms into h/w systems; Architect & implement end-to-end MLOps pipelines; Integrate labeling systems into MLOps lifecycle & design, implement, & operate data stores for MLOps; Build & maintain data pipelines for data processing, feature engineering, & model development; Design & develop apps & services to deliver data visualization, configuration, & operational control of ML-driven solutions; Collaborate on AI driven solutions; Develop s/w modules & visualization tools; Implement CI/CD workflows for ML apps; Communicate technical findings & analytics insights to stakeholders.
Requires exp w/: Designing & implementing ML-based solutions, including image classification models & waveform-based ML models; Python for data science & ML development; Embedded s/w programming w/ C++ & OOP, web app development, & databases; Integrating ML components into production environments, optimize performance, & ensure scalability across distributed systems; Data preprocessing, feature engineering, & workflow automation for ML models; Containerization (e.g., Docker, Podman) & orchestration tools (e.g., Kubernetes); Designing & implementing full-stack AI solutions, from embedded systems to cloud-based services, ensuring robust security & compliance; Git, CI/CD pipelines, & automated deployment strategies for ML apps.
Bachelor's degree or foreign equivalent in Data Sci, Comp Sci or closely related field, & 2 yrs exp in Data Scientist, Software Engineer or related occupation. WFH option (hybrid) may be available.
Send C.V. to [email protected].
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