Artificial Intelligence / Machine Learning Support Engineer

This profile outlines the desired skills and experience for an Artificial Intelligence/ Machine Learning Support Engineer, empowering teams to effectively identify and recruit qualified candidates. Ideal candidates should possess a strong foundation in Artificial Intelligence/ Machine Learning, and natural language processing, with a specific emphasis on data analysis, data pipelines, and model deployment. They should be capable of troubleshooting model-related issues, optimizing model performance, and providing expert support for various Artificial Intelligence/ Machine Learning platforms.

? Compute Fundamentals: Demonstrates a deep understanding of compute concepts, including virtualization, containerization, operating systems, and system administration. ? Cloud Technologies: Experience with cloud platforms like AWS, and Azure, including their Artificial Intelligence/ Machine Learning services. ? Generative AI: Experience with LLMs and Generative AI, and Cloud Products and services (e.g Vertex AI, Dialogflow, Gemini) ? Machine Learning Development: Experience with Machine Learning model development and deployment. ? Artificial Intelligence/ Machine Learning Frameworks: Experience with frameworks for deep learning (e.g. PyTorch, TensorFlow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), model architectures (e.g. encoders, decoders, transformers), and using machine learning APIs.

Experience: ? Troubleshooting Code Experience: Experience reading code in a general-purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design. ? Artificial Intelligence/ Machine Learning Experience: Experience with Machine Learning model development and deployment. ? Troubleshooting Experience: Experience in troubleshooting, diagnosing, and resolving complex issues. ? Support Experience: Familiarity with support methodologies, case lifecycles, and analytical skills for breaking down issues.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.