Machine Learning Engineer

About

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. Your efforts will enhance model interpretability, ensuring systems meet high-impact standards.

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.