ML/AI Engineer

Sourced from workflowza.zya.me

We are seeking ML/AI Engineers to design, build, and deploy production-grade machine learning and generative AI systems. This remote role involves owning the end-to-end ML lifecycle, ensuring models are scalable, reliable, and secure. You will work with LLMs, RAG architectures, and cloud platforms like AWS SageMaker.

• 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, including automated deployment and rollback
• Monitor AI systems for performance, drift, bias, and reliability in production
• Optimize compute usage, latency, and operational costs across AI workloads
• Ensure AI systems comply with security, privacy, and responsible-AI standards
• Collaborate with AI Architects, Developers, and Data Engineers across delivery teams
• Mentor junior ML/AI engineers and contribute to engineering best practices