Info Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.
Minimum qualifications:
Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
5 years of experience in Artificial Intelligence (AI) applications (e.g., Deep Learning, Natural Language Processing (NLP) or Pattern Recognition).
Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using Open Source Software (OSS) frameworks (e.g., TensorFlow, PyTorch).
Experience in delivering technical presentations and leading business value sessions.
Preferred qualifications:
Master's degree in Computer Science, Engineering, or a related technical field.
Experience with distributed training and optimizing performance versus costs.
Experience with Continuous Integration/Continuous Deployment solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) (e.g., using Terraform).
Experience designing and deploying with one or more ML frameworks (e.g., TensorFlow, PyTorch, JAX, Spark ML, etc.)
Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
Experience in systems design, with the ability to design and explain data pipelines, ML pipelines, and ML training and serving approaches.