Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Serve as Product Owner for enterprise tools: define and prioritize backlogs, translate stakeholder needs into enhancements and integrations, manage configuration and vendor relationships, ensure compliance and performance, drive adoption and training, and maintain a strategic tools roadmap.

Design, develop, and deploy AI/ML models and pipelines; collaborate with teams to integrate models via APIs or microservices; monitor model performance and ensure scalable production deployments.

Analyze large and diverse datasets to uncover insights, develop/train/deploy machine learning models, design data preprocessing pipelines, and create visualizations and reports. Collaborate with cross-functional teams to build predictive models, recommendation systems, and optimization algorithms to drive business improvements.

Design, build, test, and maintain full-stack applications using backend technologies (.NET/NodeJS/Java) and frontend stack (JavaScript/TypeScript/React). Deploy and manage applications on cloud platforms (Azure/AWS/GCP), implement CI/CD pipelines, work in Agile teams, ensure code quality and security, and collaborate across functions to deliver scalable solutions.

Remote data science role to analyze large datasets, build/train/deploy machine learning models, design data pipelines, create visualizations, and collaborate with stakeholders to drive data-driven solutions.

Lead design and implementation of enterprise solutions using Microsoft technologies. Architect scalable, secure microservices and cloud-native systems on Azure, guide development teams, implement DevOps/CI-CD and automated testing, integrate with existing systems, and promote best practices in performance and security while collaborating with stakeholders.

Design, implement, and manage scalable cloud infrastructure (AWS/Azure/GCP); build and maintain CI/CD pipelines; automate provisioning with Terraform/Ansible; run containerized workloads with Docker and Kubernetes; implement monitoring and alerting (Prometheus, Grafana, ELK); enforce cloud security best practices; collaborate with development teams to optimize deployment, reliability, and performance.

Design, develop, and deploy AI/ML models and pipelines. Train, fine-tune, and monitor models using TensorFlow/PyTorch/Scikit-learn. Build APIs/microservices, integrate models into production, collaborate with cross-functional teams, and ensure scalability and reliability.

Lead design and implementation of enterprise software using Microsoft technologies. Architect scalable, secure cloud-native microservices on Azure, guide development teams, drive DevOps/CI-CD and automated testing, ensure integration with existing systems, and promote best practices in performance and security.

Act as Product Owner for enterprise tools: define and prioritize backlogs, translate stakeholder needs into enhancements and integrations, oversee implementation and optimization, ensure compliance/security, monitor adoption and performance, provide training and manage vendor relationships.