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Software Engineer III (AI Integration) Location: Toronto, Ontario, London, Ontario Remote Type: On Site Time Type: Full time Job Description Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business:…
Build and maintain MLOps infrastructure to deploy, monitor, and scale machine-learning models for environmental and land-development analytics using Azure, MLflow, and CI/CD pipelines.
Job Title: Data/ML Ops Engineer Job Description: The backbone that keeps AI running. Manage data pipelines, model deployment, monitoring, and infrastructure automation to ensure reliable, scalable ML in production. Key…
Senior ML Engineer builds and deploys personalization models for mobile games, using ML techniques and MLOps to improve player retention, revenue, and experience.
Build and own the data pipelines, feature platform, and ML models that power Sardine's real-time fraud and compliance decisions, using GCP tools like BigQuery, Dataflow, and Vertex AI.
Principal Backend Engineer designing and leading Coupang’s internal platform infrastructure, including microservices, Kubernetes, and ML deployment systems to power a large-scale e-commerce ecosystem.
Senior Data Scientist builds and deploys ML and GenAI solutions for a car marketplace, partnering with teams to drive pricing, marketing, and recommendation systems using Python, SQL, and GCP tools.
Designs and maintains cloud-native DevOps pipelines for SAP BTP and ML workloads, deploying on AWS RDS and Kubernetes while ensuring reliability, observability, and security.
Designs and maintains an internal AI/ML/LLM platform, including Kubernetes infrastructure, and builds production ML workflows for security and compliance use cases.
Build and automate secure CI/CD pipelines to deploy and manage AI models (LLMs, agents) for a Singapore bank’s enterprise-wide AI transformation, using Kubernetes, Docker, and cloud platforms.
Designs and deploys production-ready AI systems, especially NLP and recommender models, using cloud platforms like AWS and Azure, while leading a small team of AI engineers.
Senior AI/ML Engineer designs, deploys, and scales secure, production-grade AI/ML systems for defense missions, defining MLOps standards and collaborating with cross-functional teams.
Design and deploy secure, scalable AI/ML systems and MLOps pipelines to support defense missions, collaborating with cross-functional teams in a classified environment.
Build and deploy production-grade ML systems (NLP, LLM, classification) to automate healthcare workflows and improve operational efficiency for hospital systems and payors.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Builds and deploys secure, production-grade AI solutions for government and education clients, integrating Google’s AI stack with customer systems while ensuring compliance and performance.
Builds and deploys secure, production-grade AI solutions directly in state and local government environments, coding agentic workflows and integrating them with legacy systems.
Lead Data Scientist Location: Culham, England, gb Job Description About us Fusion, the process that powers the sun and stars, is one of the most promising options for generating the cleaner, carbon-free energy that our…
Builds and deploys secure, production-grade AI solutions for U.S. government and education clients, coding agentic workflows and integrating them with customer systems under strict compliance.
Builds and deploys secure, production-grade generative AI solutions for government and education clients, integrating Google Cloud with customer systems while ensuring compliance and performance.
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