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Senior Data Scientist owning the full ML production lifecycle—scaling deep learning models from R&D to reliable production systems, building data/feature pipelines, and establishing MLOps standards. Core stack includes Python/Go/Java, GCP (Vertex AI, BigQuery), Docker, Kubernetes, and MLflow/Kubeflow.
ML Engineer building evaluation frameworks, automated scoring pipelines, and multi-agent LLM architectures for an AI-first product company, using Python, GCP (Vertex AI, BigQuery), and modern LLM/agent tooling.
AI Architect responsible for designing and governing the end-to-end LLM Intelligence Engine architecture (RAG, agents, vector DBs) for a logistics/supply chain group, coordinating with hyperscalers and vendors to ensure scalable, cost-efficient AI foundations.
Senior Architect at Redapt designs and delivers AI/ML solutions, drives business growth through data science services, and manages client projects and teams using cloud platforms like Azure ML and AWS SageMaker.
Client-facing Data Engineer (Marketing & BI) splitting roughly 70% on client delivery and 30% on internal capability building. Designs SQL-based data models and analytics solutions across BigQuery, Snowflake, Databricks, and Redshift; builds dashboards in Looker Studio, Power BI, and Tableau; and partners with analytics teams on marketing measurement (GA4/GTM).
Senior Analyst/Data Architect managing SQL data transformations, building client dashboards (Looker Studio, Tableau, Power BI), overseeing tag/pixel implementation, and supporting MMM and AI projects for media campaign measurement at a creative agency.
Staff Data Scientist leading the Fuel Detection Model, applying ML and remote sensing to satellite/environmental data to estimate vegetation structure, fuel loads, and wildfire risk for utility partners.
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…
Principal Cloud Architect designs scalable cloud infrastructure, data platforms, and AI-augmented review workflows, prototypes patterns, and hands them off to engineering teams.
Platform Architect bridging ML infrastructure and SRE on GCP — you'll design and operate model serving, inference infrastructure, reproducible ML pipelines, and GitOps workflows using Terraform, Kubernetes (GKE), ArgoCD, and BigQuery.
ML/MLOps engineer taking models from experimentation to production, working with GCP Vertex AI, Python, BigQuery, and data pipelines on a hybrid basis in Madrid.
Leads global environmental programs for Google Data Centers, ensuring compliance and innovation in sustainability initiatives across tech infrastructure while collaborating with cross-functional teams and stakeholders.
Junior AI SoC Design Verification Engineer at Google, planning and executing verification of custom silicon using SystemVerilog, UVM, and formal methods throughout the full development lifecycle to tape-out.
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
The AI QA & Evaluation Engineer will design and implement testing frameworks, evaluation rubrics, and CI/CD pipelines to validate the accuracy, reliability, and safety of GenAI solutions. The role involves collaborating across engineering teams to monitor model performance, mitigate hallucinations, and ensure compliance with data governance standards.
ML Hardware Architect at Google defining TPU roadmaps, building simulation/performance models in C++/Python, and bridging AI research with next-gen silicon design for Google Cloud's AI infrastructure.
Technical Program Manager on Google's AI and Infrastructure team leading capacity and constraint intelligence programs, building real-time telemetry dashboards and integrating data pipelines (Kafka, BigQuery, MapReduce) across data center operations, supply chain, and engineering organizations.
Build and scale ML-driven dispute optimization systems, including training, deploying, and monitoring models, plus real-time data pipelines and feature stores for Checkout.com’s fintech platform.
About Us: ImageTrend, LLC. is dedicated to connecting life’s most important data in the healthcare and emergency response community. We deliver software solutions, data analytics and services for EMS, hospitals,…
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