ML/AI Engineer

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Levio is seeking an ML/AI Engineer to design, build, deploy, and operate production-grade machine learning and generative AI systems. This role involves end-to-end ML lifecycle management, including building pipelines for LLM-based solutions, implementing CI/CD for ML workflows, and ensuring scalability, reliability, and security. The position is remote and offers a comprehensive benefits package.

• Design, implement, and productionize machine learning and generative AI models; Build training, validation, and inference pipelines for ML and LLM-based solutions; Implement feature engineering, embeddings, and model versioning best practices; Support LLM-based systems including RAG architectures and inference optimization; Implement CI/CD for ML and LLM workflows; Monitor AI systems for performance, drift, bias, and reliability; Optimize compute usage and operational costs; Ensure AI systems comply with security, privacy, and responsible-AI standards; Collaborate with cross-functional teams; Mentor junior engineers.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field; 6+ years of experience in engineering roles with 3+ years in AI/ML; Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); Hands-on experience deploying and operating ML models in production; Experience with cloud ML platforms, especially AWS SageMaker; Strong understanding of data pipelines, model lifecycle management, and monitoring.