To support the development of advanced AI solutions, the full-time remote AI Engineer II will design, develop, deploy, and maintain machine learning models and AI systems, ensuring operational readiness and integration into business applications.
Key responsibilities:
Develop and implement machine learning and AI models while optimizing performance and scalability
Design and maintain scalable ML pipelines, collaborating with ML Ops Engineers for deployment and monitoring
Ensure compliance with governance standards and evaluate emerging AI technologies for business applications
Required qualifications:
Bachelor's degree in Computer Science, Data Science, Engineering, or related field; Master's preferred
2+ years of hands-on experience with deep learning frameworks and end-to-end model lifecycle
Strong coding skills in Python, Java, or C++, with experience in API development
Proficiency with cloud platforms (GCP, AWS, Azure) and associated AI/ML services
Experience in MLOps practices, including model monitoring and observability