and oversee AI/ML solutions capable of analyzing multi-modal datasets (e.g., text, imagery, signals, structured and unstructured... design for mission-critical federal systems. Designing AI/ML solutions that operate on multi-modal datasets. Infrastructure...
skills · ML: training, evaluation, feature engineering, error analysis, model serving · GenAI (optional): RAG, retrieval...AI/ML & Forward Deployed Engineer Minnetonka Mills, MN Contract Role Overview We are looking for an experienced...
) and integrating AI/ML solutions into enterprise applications, understanding of AI model fine-tuning and customization with a strong...
AI and agentic solutions using Claude, including agent orchestration, tool integration, and Model Context Protocol (MCP) based... design, process mapping, and support-model definition, providing technical direction throughout Develop and maintain project...
. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving... science or ML research role. You will act as a hands-on technical leader who uses AI as building blocks-LLMs, agents, RAG...
, focused on transforming core lending and payments BAU processes through AI, ML, and Generative AI solutions. This role... with product, operations, and engineering teams to build, deploy, and scale ML and GenAI solutions embedded into mission‑critical...
SAP BTP capabilities for data orchestration, analytics, AI/MLmodel deployment, predictive insights, and real-time...
, distributed training, Large Language Model (LLM) inference, Python, C++, CUDA, and production AI systems, along with the ability... decoding, and model parallelism. Profile AI applications using industry-standard performance analysis tools and identify...
field. Core ML Expertise: Deep understanding of modern model architectures, including Transformers, LLMs, VLMs and LDMs... outdoors and a desire to protect it for future generations. Role Summary As a Staff Software Engineer for ML Optimization...
on identifying, cataloging, and assessing API products and proxies, managing API and model lifecycles, and integrating ML-enabled... and executing an enterprise-wide API and AI/ML governance strategy that ensures scalable, secure, and standards-compliant API...