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About the Role We're an early-stage open-source MLOps infrastructure startup building the orchestration layer for ML pipelines and AI agent workflows. We're looking for a GTM Engineer to own our entire US presence and…
Owns the product roadmap for conversational AI solutions using Dialogflow, guiding voice assistants and virtual agents from design to deployment.
Design and build AI agents and RAG pipelines using Azure OpenAI and Azure AI services to solve complex industrial and manufacturing problems.
Design and lead enterprise AI solutions for healthcare and life sciences, including multi-agent systems, RAG architectures, and MLOps workflows.
Build, deploy, and scale AI/ML models and pipelines for Wave’s fintech platform, ensuring reliability, governance, and integration with AWS and MLOps tools.
Designs, automates, and operates Kubernetes-based platforms using IaC, CI/CD, and cloud tools to ensure performance, reliability, and cost efficiency for a client’s technical infrastructure.
Build and maintain MLOps pipelines and cloud-based AI platforms using Python, Docker, Kubernetes, and Azure to industrialize and deploy AI models.
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Develop generative AI systems and LLMs for Thalia’s e-commerce platform, focusing on model training, fine-tuning, and deployment using PyTorch, TensorFlow, and MLOps in GCP.
Vill du arbeta med AI-lösningar som går från idé till verklig användning? Hos Knowit i Umeå söker vi nu AI Engineers som vill vara med och utveckla lösningar inom generativ AI, LLM:er, data och moderna AI-drivna…
Designs and runs evaluation frameworks for conversational and autonomous AI agents in commerce, embedding tests into MLOps and CI/CD to measure task completion, tool-use, bias, and customer experience.
Designs and builds scalable GCP-based data pipelines, MLOps workflows, and cloud-native apps using Dataflow, Kubeflow, BigQuery, Python, and Django.
Build and maintain GCP data pipelines and MLOps frameworks using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North…
Location Brookfield Place - 181 Bay Street Technology Services Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all…
Position Responsibilities Builds and maintains high-performance, fault-tolerant, secure, and scalable AI platform services and abstractions that support diverse AI solutions with automation-first delivery. Designs,…
Build and maintain cloud-native AI infrastructure on Databricks and AWS, deploying ML models and LLMs at scale with MLOps pipelines and observability.
Build ML models for retention, recommendations and customer growth on a 4M+ member platform using Python, SQL and Databricks.
Build secure, scalable data pipelines and platforms using Python, Spark, Kafka, and Kubernetes for mission-critical Defence environments.
Обязанности: Сформировать дорожную карту ML‑инициатив для трейдинга и смежных функций (ценообразование, прогнозы спроса/предложения, оптимизация логистики, риск‑метрики); Разрабатывать end-to-end LLM-приложения : от…
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