Senior Machine Learning Engineer

Special Notice: This position is NOT contingent upon awarding of a project or needing a funding source. This is full-time employment with webAI. About the Role: We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. You will be responsible for transforming prototype models into scalable, efficient, and reliable production systems that operate seamlessly across a spectrum of hardware from government cloud infrastructure to edge devices in restricted or disconnected environments. 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 c [... source excerpt omitted ...] audio, and natural language domains. Optimize model execution for distributed and resource constrained environments, ensuring reliability under variable connectivity conditions. Qualifications: Active US Security clearance 4+ years of experience in applied AI, ML engineering, or production AI systems. Deep proficiency in PyTorch, TensorFlow, or Hugging Face Transformers. Proven experience deploying AI models across cloud, edge, and mobile hardware environments. Expertise in model compression and optimization (quantization, pruning, distillation). Experience building RAG pipelines and integrating vector databases (e.g., Quadrant, ChromaDB, FAISS, Milvus, Pinecone). Familiarity [... source excerpt omitted ...] ch we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired