✨ AI Summary
Eternal Yield International is seeking an AI/ML Engineer to build intelligent systems for curating human memories with emotional intelligence. The role involves developing and deploying machine learning models for image/video analysis, NLP for memory categorization, recommendation engines, and computer vision for face recognition. Candidates will implement AI systems that respect privacy, optimize models for production, and collaborate with product teams. The position requires 4+ years of ML engineering experience, proficiency in Python, TensorFlow/PyTorch, scikit-learn, computer vision, NLP, cloud ML platforms, MLOps, and a strong mathematical foundation.
Requirements
Requires 4+ years of machine learning engineering experience with strong proficiency in Python, TensorFlow/PyTorch, and scikit-learn. Experience with computer vision, natural language processing, cloud ML platforms (AWS SageMaker, Google AI Platform), MLOps, and model deployment is essential. A strong mathematical foundation in statistics and linear algebra, along with understanding of ethical AI principles and bias mitigation, is also required.
Description
About This RoleBuild intelligent systems that understand and curate human memories with emotional intelligence and context awareness. Lead the development of AI features that help families organize and rediscover their most precious moments.Key Responsibilities Develop and deploy machine learning models for image and video analysis Build natural language processing systems for memory categorization Create recommendation engines for memory discovery and sharing Implement computer vision models for face recognition and scene detection Design AI systems that respect privacy and handle sensitive family data Optimize ML models for performance and scalability in production Collaborate with product teams to translate business needs into AI solutions Stay current with latest AI/ML research and best practicesRequirementsEssential Qualifications 4+ years of machine learning engineering experience Strong proficiency in Python, TensorFlow/PyTorch, and scikit-learn Experience with computer vision and natural language processing Knowledge of cloud ML platforms (AWS SageMaker, Google AI Platform) Understanding of MLOps practices and model deployment Experience with ethical AI principles and bias mitigation Strong mathematical foundation in statistics and linear algebra Excellent problem-solving and analytical thinking skillsPreferred Qualifications PhD or Master's in Machine Learning, Computer Science, or related field Experience with recommendation systems and collaborative filtering Knowledge of edge computing and model optimization Background in privacy-preserving ML techniques Published research in relevant AI/ML conferences or journals