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Build and optimize GCP-based data pipelines and ML models, then visualize insights in Looker Studio to drive TELUS’s operational and customer-experience improvements.
Design and deploy Google Dialogflow CX conversational AI flows for voice/digital channels, integrating with contact centers and CRM systems to improve customer and agent experiences.
Build and scale ML-driven dispute optimization systems, including training pipelines, feature stores, and real-time data processing for Checkout.com’s fintech platform.
Principal Data Engineer builds and scales AI-native data infrastructure for LLM-powered security products, including RAG and agentic systems at Exabyte scale.
Build and ship ML systems that autonomously optimize retail-media ad spend for thousands of brands in real time using Python, GCP, and reinforcement learning.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Builds and deploys generative AI models on GCP Vertex AI, designs scalable data pipelines, and collaborates on end-to-end AI product development using Python and MLOps.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Build and own Flinks’ data and ML platform: BigQuery, dbt, Airflow, Pub/Sub, Kubeflow, Vertex AI, and FastAPI to turn models into production-grade services.
Build and deploy multi-step AI agents using Python, LangChain/LangGraph/ADK, and GCP’s Vertex AI suite for text/code generation and tool use.
Builds AI-powered enterprise apps in Java using LLMs, Spring AI, and cloud services; integrates APIs and microservices while ensuring production-grade quality.
Senior Java developer building AI-powered enterprise apps with Spring Boot, LLMs, and cloud AI services, using AI-assisted workflows and prompt engineering in a hybrid Toronto role.
Build and deploy AI/ML models in Python for fintech use cases, using LLMs and MLOps pipelines while leveraging AI tools to accelerate development.
Electrical Facilities Engineer, Data Center Operations _corporate_fare_ Google _place_ Nong Yai, Nong Yai District, Chon Buri, Thailand **Early** Experience completing work as directed, and collaborating with…
Why you: Pythian sits at the intersection of data engineering, AI production, and managed services — helping enterprises turn data complexity into competitive advantage. With three decades of deep managed services…
Build and deploy AI-powered features (LLM chat, image generation) using Python, FastAPI, and cloud tools (GCP/Azure) for an e-commerce group’s internal platforms.
Builds cloud-based integrations that power AI agents and chat/voice experiences for millions of users, focusing on reliability and scalability at the customer touchpoint.
The DAP Platform Solution Architect is a strategic technology leader responsible for defining, evolving, and governing the architecture of the Digital Assistant Platform. The role combines expertise in cloud…
Designs and deploys production-grade AI systems, including multi-agent workflows and RAG, on GCP while mentoring engineers and enforcing engineering standards.
Staff engineer on Google’s Generative AI Blackbelt team building and deploying AI/ML solutions for customers across industries using Vertex AI and automation tools.
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