Machine Learning Engineer for Edge AI

Enhance fish farming with edge AI as a Machine Learning Engineer. Leverage your skills in design and deployment of advanced models to foster sustainability and efficiency in aquaculture. You will play a crucial role, combining engineering practices with research to create meaningful solutions. Responsibilities include training image/video models, implementing drift detection, and establishing reliable data pipelines. Your efforts will enhance model interpretability, ensuring systems meet high-impact standards. Key Responsibilities: • Train image/video models for real-time applications • Build metrics beyond standard evaluations for model accuracy • Monitor data quality, drift, and overall system performance • Design workflows and pipelines for data management • Collaborate with technical teams for effective systems deployment Requirements: • 2+ years of machine learning experience with production systems • Proficiency in Python & PyTorch; knowledge of scikit-learn • Experience with interpretability and validation methods • Familiarity with monitoring tools for system reliability • Strong problem-solving and independent execution skills Utilize your machine learning expertise to drive advancements in sustainable aquaculture practices through deployment and system enhancement.