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Build and maintain ML pipelines in Vertex AI and pioneer GenAI features like RAG and embeddings to power analytics and AI apps across the company.
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions…
Build and deploy deep learning models for large-scale prediction systems using PyTorch/TensorFlow, collaborating with engineers and product teams to deliver production-grade AI solutions.
Own AI-powered products using Generative AI and Large Language Models; define vision, prioritize backlog, and validate business value with engineering and UX teams.
Leads end-to-end AI/ML lifecycle for language models, balancing proprietary APIs and open-source LLMs to deliver scalable, low-latency solutions aligned with business goals.
Designs end-to-end digital marketplace and CRM/billing platforms, selecting cloud-native tech and APIs to meet enterprise needs and guide development teams.
Build and lead Vertex’s enterprise agentic AI platform, including RAG pipelines, orchestration, and a centralized AI Control Tower for governance, observability, and cost management across AI applications.
Senior Machine Learning Engineer Department: Engineering Location: San Francisco Employment Type: FullTime About the Role A growing AI and Data Science team at a healthcare-focused company is looking for a Senior…
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build and maintain a GCP-based data analytics platform using Cloud Run, Vertex AI, GKE, and BigQuery, automating infrastructure with Terraform and Go.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Build and deploy AI agents using LangChain/LangGraph on GCP, leading a team to architect cloud-native, scalable systems and mentor engineers while integrating cutting-edge LLMs and MLOps practices.
Build and maintain AI evaluation frameworks, optimize models for accuracy and latency, and deploy AI solutions while ensuring security and compliance.
Build and deploy AI solutions for PwC’s Deals Advisory practice using Python, FastAPI/Streamlit, and cloud AI services like Azure OpenAI to solve client challenges in forensic accounting and compliance.
Build and maintain a GCP-based data analytics platform using managed services, Terraform, and Kubernetes, while automating infrastructure and monitoring for AI-driven products.
Design and implement secure cloud architectures and controls for AWS/Azure/GCP, automate security posture management, and embed security into CI/CD pipelines to protect Amgen’s global healthcare cloud platforms.
Senior engineer administering Google Cloud Platform, building scalable cloud infrastructure, automating DevSecOps, and enabling AI/ML workloads for mission programs.
Job Description : The New York Post is one of America’s most iconic and recognizable news brands — delivering bold headlines, unforgettable scoops, and sharp commentary since 1801. With a legacy built on fearless j…
Build and maintain end-to-end MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and MLflow to operationalize ML/AI models for production.
Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
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