Senior Machine Learning Engineer
Core
Transforming prototype AI models into scalable, efficient, and reliable production systems for secure, distributed environments across government cloud and edge devices.
Role type
Senior Machine Learning Engineer (Production AI Systems)
Builds
Production-ready agentic workflows, optimized AI models, and RAG pipelines for public sector clients.
Domain
Public Sector / Applied AI / Distributed Systems
Deliverable
production ML models
Required skills
Model optimization (quantization, pruning, distillation), RAG pipeline engineering, multi-modal AI development, distributed system deployment, edge inference strategies
Preferred skills
Edge AI and federated learning, AI governance frameworks, microservice architecture integration, GPU computing and CUDA profiling
Technologies
PyTorch, TensorFlow, Hugging Face Transformers, LoRA, PEFT, Vector databases (Quadrant, ChromaDB, FAISS, Milvus, Pinecone)
Responsibilities
Design and deploy agentic workflows for multi-step reasoning; Engineer adaptive ML systems using on-device inference strategies; Implement model optimization techniques for hardware acceleration; Build and maintain RAG pipelines with vector database integration; Optimize model execution for resource-constrained environments; Work with multi-modal AI systems across vision, audio, and NLP.
Seniority
Senior, hands-on IC