Senior Machine Learning Engineer

webAI is hiring a Senior Machine Learning Engineer to support its public sector initiatives. The role focuses on turning prototype models into scalable, reliable production AI systems for secure and distributed environments, from government cloud infrastructure to edge devices.

Responsibilities:

• Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems
• Productionize AI models from research prototypes into scalable, deployable systems used in real world applications
• Engineer adaptive ML systems using LoRA, PEFT, and on-device inference strategies, leveraging PyTorch, TensorFlow, and Hugging Face Transformers for model development, fine-tuning, and optimization
• Implement model optimization techniques such as quantization, pruning, distillation, and hardware specific acceleration
• Build and maintain Retrieval Augmented Generation (RAG) pipelines, including vector database integration for contextual retrieval
• Work with multi-modal AI systems across computer vision, audio, and natural language domains
• Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions