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Senior AI Engineer - Snowflake & Enterprise AI
Design and productionize enterprise AI solutions using Snowflake Cortex AI, Python, SQL, and RAG architectures to automate decisions and build intelligent agents for Hydro One’s data platform.
Sr. AI Engineer/Gen AI
Builds and deploys enterprise-grade generative AI systems, including LLM pipelines, RAG, and agentic workflows, using Python, React, and frameworks like LangChain.
AI and Data - Senior Consultant - AI/ML Engineer
Build and test AI/ML solutions for clients using cloud platforms (AWS/Azure/GCP) and frameworks like TensorFlow/PyTorch; collaborate with stakeholders to integrate AI into their tech stacks.
AI Engineer
Build and evaluate AI-powered tools for insurance risk management, including adversarial evaluation platforms and AI pipelines using Python and cloud services.
Senior Software Engineer, Agentic AI
Build and deploy AI-driven features and agentic workflows using Python, ML frameworks, and cloud tools to power scalable content technology products.
Lead AI/ML Software Engineer
Lead AI/ML engineer building and deploying production-grade ML systems for online banking, including LLM pipelines, RAG, and vector databases using Python/Java and MLOps tooling.
Software Engineer II (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, model fine-tuning, and real-time microservices using Python, cloud platforms, and MLOps tools.
Software Engineer III (AI Integration)
Build and deploy AI/ML systems for banking, including LLM pipelines, fine-tuning, and real-time microservices, using Python, cloud platforms, and MLOps tools.
Machine Learning Engineer/Senior Machine Learning Engineer - Evisort
Build and deploy AI models (LLMs, graph neural networks) to power contract intelligence and document automation for enterprise customers using PyTorch/TensorFlow and cloud platforms.
Applied AI, Forward Deployed Machine Learning Engineer
Forward-deployed ML engineer partners with clients to deploy Mistral’s AI models, fine-tuning and integrating them into production systems while bridging technical and business stakeholders.
Senior AI Data Scientist
Build, deploy, and optimize ML and agentic AI models to personalize client experiences and improve decisions at a modern bank, using Python, PySpark, TensorFlow, and Databricks in a regulated environment.
Staff Software Engineer - AI II
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Senior AI Machine Learning Engineer
Build and scale graph and transformer-based foundation models for structured data, owning ML pipelines and distributed systems in PyTorch while mentoring engineers and researchers.
Robotics AI Engineer (Deep Learning for Autonomy)
Design and deploy deep-learning models for autonomous robot navigation, including obstacle prediction, semantic mapping, and behavior forecasting.
Machine Learning Engineer I
Build and deploy ML models to improve job-matching for Indeed’s users, using Python, TensorFlow/PyTorch, and cloud platforms.
Machine Learning Engineer, Edge AI
Lead firmware design for edge AI accelerators, optimizing memory, DMA, and power while co-designing hardware specs and guiding customers on deploying PyTorch/TensorFlow models on custom silicon.
Machine Learning Engineer III / Senior Machine Learning Engineer - AI Platform
Build and optimize AI agents, semantic search, and Text-to-SQL systems using LLMs and RAG for Workday’s enterprise suite, scaling solutions to 31M users.
System Software Engineer - AI
Builds low-level system software to optimize distributed AI training and inference across thousands of GPUs using C++, Python, and CUDA.
Full-Time AI & Machine Learning Engineer
Build and maintain ML pipelines to optimize marketing campaigns using Python, PyTorch, or TensorFlow in a remote role.
Staff AI Data Scientist
Build and deploy advanced AI models and data pipelines to transform healthcare data into predictive, personalized health insights using LLMs and clinical datasets.