will include data preparation, feature engineering, model evaluation, and translating results into clear, applicable insights..., with hands-on experience building, validating, and iterating on statistical or ML models using large, complex datasets. 5...
research into production-grade inference pipelines. You will own the full lifecycle of MLmodel deployment: from training... into production-grade inference pipelines Own the full MLmodel lifecycle: training infrastructure, real-time serving, monitoring...
and decision governance, customer reporting, and measurable indicators of mission impact, user adoption, model quality..., and analytic leaders to incorporate human oversight, source provenance, explainability, model evaluations, red-teaming, bias...
cases with measurable ROI. Establish best practices for AI governance, model lifecycle management, responsible..., data engineering, MLOps/LLMOps, cloud platforms, experimentation, model lifecycle management, AI governance, and data...
operations while building a high-performing team with diverse expertise spanning traditional Red Team skills and deep AI/ML... - Building and leading a team of security engineers with expertise in offensive security, AI/ML systems, threat intelligence...
. Proven record scaling generative AI, agentic AI, ML, automation, or platform products from experimentation to production..., Copilot Studio, LangChain/LangGraph, MCP/A2A, telemetry, prompt/model security testing, and AI ROI measurement. Track...
and Event Schemas - Contribute to our shared canonical model — the versioned types that govern every domain event crossing... for leader-facing applications, APIs, and near real-time dashboards. Model Enterprise Data - Design and maintain dimensional...
Role: Data Scientist Location: Grand-Prairie, Texas 75050 Work Model: Onsite (4 days a week work from office Mon... record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause...
operations. This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research... technologies, data sources, and AI/ML approaches for pharmacovigilance, regulatory submissions, quality, and clinical data insights...
, inference, monitoring, and iteration. Strong background of ML/DL/LLM algorithms, model architectures, and training techniques... for all analytical efforts. Manage deliverables in an agile environment and maintain clear communication with all model stakeholders...