MLops Engineer

Description: Hybrid 3 days/week in Concord, CA Our client seeks a Senior/Lead Generative AI Platform Engineer to design, implement, and scale enterprise AI/ML platforms across hybrid cloud. The role will architect secure, cost-optimized, and high-performance environments for LLMs and classical ML, spanning compute, storage, networking, and MLOps. The engineer will drive orchestration, observability, and reliability for large-scale workloads while enabling data science through robust tooling an

Role: AI/ML Engineer Location: San Roman, CA OR Redwood City, CA Job Type: Contract Job Description: We are seeking a Senior AI/ML Engineer to design, build, and deploy large-scale, production-grade machine learning systems powering our Personal AI & Human Connection intelligence platform. You will architect and implement end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring ensuring reliability, scalability, and compliance with Person

Position: Senior AI/ML Engineer Location: San Ramon, CA (OR) Redwood City, CA We are seeking a Senior AI/ML Engineer to design, build, and deploy large-scale, production-grade machine learning systems powering our Personal AI & Human Connection intelligence platform. You will architect and implement end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and monitoring ensuring reliability, scalability, and compliance with Personal data standards. The

Key Responsibilities Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.Automate model training, testing, deployment, and monitoring in cloud environments (e.g., Google Cloud Platform, AWS, Azure).Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)Collaborate with engin