
Lead AI Solutions Architect – Toronto Hybrid
WorkanaLead the design and delivery of scalable AI/ML systems for a global financial institution. Guide R&D, production deployment, and engineering mentorship across financial-services applications.

Lead the design and delivery of scalable AI/ML systems for a global financial institution. Guide R&D, production deployment, and engineering mentorship across financial-services applications.

Develop and deploy machine-learning solutions for VIPAS AB’s IT consulting clients. Apply NLP, computer vision, data engineering, and cloud-platform expertise across production AI projects.

Develop Java and cloud-based AIoT solutions for automotive, manufacturing, and smart infrastructure clients at Concept Reply GmbH. Partner with customers and agile teams in Munich on projects ranging from proofs of concept to large-scale implementations.

Develop machine learning, NLP, LLM, and RAG solutions for QAVION GROUP’s consulting and technology business. Build scalable data pipelines and production-ready generative AI services.

Develop robot-learning systems for Rosendahl Nextrom’s industrial production technologies, spanning perception, reinforcement learning, and adaptive robotics. Apply foundation models and sim-to-real methods to help robots learn and operate flexibly in real-world environments.

Lead generative AI research for Cisco’s purpose-built language models supporting networking, security, and observability. Publish research and translate new methods into Cisco products and solutions.

Lead General Motors’ autonomous-driving sensing evaluation and validation systems. Guide simulation, sensor data, software architecture, and engineering teams.

Build production-ready generative AI applications with Python, JavaScript, React, LLMs, and RAG while developing into a technical leadership role. Guide AI-assisted engineering practices and help deliver scalable full-stack solutions.

Lead the design and deployment of GenAI, NLP, and predictive analytics solutions for healthcare applications. Build scalable, compliant AI systems that improve Gainwell Technologies’ technology platforms.

Join Concept Reply GmbH to build AIoT solutions across frontend, backend, and machine learning. The role supports applications for automotive, manufacturing, and intelligent infrastructure.

Lead production machine learning for DataXstream’s enterprise order management platform. Build recommendation, forecasting, propensity, and document intelligence models for customer use cases.

Senior Data Scientist role focused on transactional data analysis and machine learning model development. Partner with engineering, product, and business teams to improve banking and acquiring services.

Build production NLP and large language model systems for Thomson Reuters legal intelligence products. Turn complex legal documents into actionable insights through scalable, reliable AI capabilities.

Lead secure agentic AI initiatives for NVIDIA’s enterprise software partners, from initial architecture through production deployment. The role covers confidential computing, security controls, partner integrations, and scalable AI system design.

Partner with strategic customers to solve distributed systems and AI infrastructure challenges. Turn deployment insights into VAST Data product enhancements, automation, and reliable production outcomes.

Design and deploy Vertex AI and generative AI solutions for U.S. federal agencies. Build production machine learning pipelines, intelligent agents, and secure, governed cloud architectures.

Lead the development of production AI and machine learning systems for Vantor’s spatial intelligence platform. Apply geospatial data, imagery, and multimodal models to generate operational intelligence.

PhD intern role at General Motors focused on researching and validating machine-learning models for autonomous vehicles. The work covers simulation, data systems, and evaluation tools supporting production-oriented AV capabilities.

Kolomolo is hiring a Machine Learning Engineer to develop and deploy computer vision models across cloud and edge environments. The role focuses on deep learning, visual understanding, and production-ready AI systems.

Build production computer vision systems for Terabase Energy’s solar construction software. Develop models, data pipelines, and deployment workflows used across active global construction sites.