Target Profile • 2+ years of experience in software engineering, ML engineering, or data-focused development roles. • Exposure to deploying machine learning models or supporting AI/ML workloads in production environments. • Proficient in Python, with experience building ML models or working with frameworks like PyTorch, TensorFlow, or similar. • Solid understanding of core data science concepts, including statistical modeling, hypothesis testing, and data exploration techniques to inform model development and evaluation. Project Overview & Deliverables • Develop and Maintain AI/ML Systems:Develop reliable, scalable backend systems that power machine learning workflows and data pipelines. • Cloud Operations and Deployment: Enhance cloud infrastructure to support efficient model deployment and operational stability in real-world environments. • Technical Problem Solving: Identify engineering challenges, including those surfaced through direct client feedback and usage. Provide scalable solutions to address technical challenges • You’ll build backend systems, support client-facing deployments, and enable smoother workflows for machine learning solutions. What You’ll Do This opportunity combines hands-on model development with robust backend engineering and infrastructure work. You’ll build scalable systems, and ensure rapid iteration and deployment of machine learning solutions in dynamic, production-ready environments. Important Hours: 40 hours All candidates must pass an assessment and interview as part of the contracting process. All candidates must pass a Background Check prior to beginning work on the project.