ML Infrastructure and Deployment Engineer San Fransisco, CA

Overview At Hubnest, we're on a mission to transform industries through the power of AI. Our unique approach to AI innovation and commitment to making a difference sets us apart. With a motto of "Think unique and be innovative. Make a difference with Hubnest," we're dedicated to pushing the boundaries of what's possible. Join us in shaping the future of AI and making an impact that matters. Responsibilities Develop state-of-the-art machine learning models for AI applications. Own the ML lifecycle from research to deployment. Drive innovation in computer vision techniques. Tackle complex challenges in marine conservation and analytics. Collaborate with cross-functional teams to drive innovation. Bachelor's degree or higher in Computer Science or related field. Experience implementing ML models in production. Proficiency in Python, machine learning frameworks (PyTorch, TensorFlow). Strong technical communication skills. Preferred qualifications Master's or Ph.D. in Computer Science or related field. Experience with MLOps and cloud infrastructure. Knowledge of containerization and orchestration (Docker, Kubernetes). Contributions to deep learning research. Passion for revolutionizing industries through AI. #J-18808-Ljbffr Hubnest Inc