About FullStack FullStack is the most transparent IT talent network, connecting highly skilled individuals with top general companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide. We’re Most Proud Of - Offering life-changing opportunities for talented software professionals across the Americas. - Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies. - Our 4.2-star rating on GlassDoor. - Our client Net Promoter Score of 68, twice the industry average. The Opportunity Join our talent network and connect with U.S. clients for versátil, project-based development work as a Machine Learning Engineer (Databricks + MLOps). - You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis. What We're Looking For - 4+ years of professional experience as a Machine Learning Engineer, or similar role. - Advanced English is required. - Successful completion of a four-year college degree is required. - Strong hands-on experience with Databricks (Workflows, Delta Lake, MLflow). - Experience deploying models to Databricks Model Serving, REST APIs, or external endpoints. - Proven experience with MLOps and model lifecycle management. - Experience with production support and monitoring of ML systems. - Strong proficiency in Python, SQL, and Spark. - Solid understanding of CI/CD tools (e.g., Databricks Asset Bundles, Jenkins). - Strong knowledge of data structures and algorithms. - Familiarity with shell scripting in Linux-based environments (Preferred). - Ability to drive clarity from requirements and take ownership of end-to-end de