AI/ML Solutions Architect

The AI/ML Solutions Architect will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions for a key Randstad client in the DC area. This role requires an expert-level blend of advanced AI/ML model development (including Generative AI/LLMs, deep learning, and traditional ML), modern software engineering practices, and robust MLOps principles. The Architect will drive platform adoption using Databricks, ensure models are securely deployed via cloud platforms (AWS/Azure) using Docker/Kubernetes and FastAPI, and serve as a technical leader and mentor to junior team members, ultimately enabling self-service capabilities and accelerating the business adoption of scalable AI/ML solutions.

• Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn.
• Proven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools (Docker, Kubernetes, Git).
• Deep expertise in developing and optimizing Generative AI solutions using LLMs and foundation models, including hands-on experience with fine-tuning (eg, LoRA) and performance optimization.
• Expertise in cloud platform deployment and infrastructure management on major cloud providers (AWS and/or Azure).
• Strong functional knowledge of Databricks for data processing, platform management, and accelerating AI/ML development.
• Experience in data processing, feature engineering, advanced visualization, and communicating complex insights effectively through storytelling.
• Demonstrated Systems Thinking approach to problem-solving, with the ability to translate high-level business goals into secure, scalable, and viable technical architectures.
• Excellent communication, collaboration, and mentorship skills, with a track record of driving best practices and team improvement.