AI Engineer II

As a hands-on builder, the full-time remote AI Engineer II will design, develop, deploy, and maintain AI and machine learning solutions, ensuring operational readiness and integration into business applications while collaborating with cross-functional teams. Key responsibilities: Develop and implement machine learning and AI models, ensuring clean, efficient code and optimized performance Design and maintain scalable ML pipelines for model training, validation, and deployment, while monitoring performance in production Collaborate with Data Scientists and other teams to transition experimental models into production-ready systems and ensure compliance with governance standards Required qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's degree preferred Minimum of 2 years of hands-on experience with deep learning frameworks and the end-to-end machine learning model lifecycle Strong coding skills in Python, Java, or C++, with experience in API development Proficiency in cloud platforms (GCP, AWS, Azure) and their AI/ML services Experience with MLOps practices, including model monitoring and deployment strategies