Job Url: https://www.remoterocketship.com/company/ryzlabs/jobs/applied-ai-developer-united-states-remote Job Description: Ryz Labs Website LinkedIn All Job Openings Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions. Startups • Technology • Software Development 11 - 50 employees Applied AI Developer 3 days ago 🇺🇸 United States – Remote ⏳ Contract/Temporary 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Cloud Keras PySpark Python Scala Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • Build, refine, and utilize advanced ML engineering platforms and reusable components to deliver scalable AI solutions. • Implement ML Ops processes, track model KPIs, monitor drift, and establish robust feedback loops for continuous improvement. • Deploy and operationalize deep learning models, with a focus on LLMs and generative AI, ensuring reliability and performance at scale. • Design and orchestrate model pipelines, including feature engineering, inferencing, and continuous training, to meet strict SLAs. • Collaborate with client-facing teams to understand high-level business contexts and translate them into technical requirements. • Write production-ready code with a focus on testability, maintainability, and handling edge cases and errors gracefully. • Actively participate in agile ceremonies, communicate progress effectively, and adhere to best practices for architecture, design, and code quality. 🎯 Requirements • Bachelor’s or Master’s degree in Computer Science or a related field from a top-tier university. • 4+ years of hands-on experience in machine learning, deep learning, and fine-tuning models (LLMs). • Expert-level proficiency in Python; experience with backend API design and vector databases. • Solid understanding of ML Ops, including measuring and tracking model performance, and MLFlow. • Demonstrated experience in NLP, generative AI, and deploying real-time model predictions. • Strong communication skills—both written and verbal—are essential for cross-functional collaboration. • Experience with ML frameworks such as Keras and HuggingFace. Apply Now