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Build and deploy AI/ML models for industrial use cases like predictive maintenance and process optimization, using Python, TensorFlow/PyTorch, and MLOps pipelines.
Build and maintain AWS-based data pipelines and ML workflows, turning datasets into insights and scalable analytics for clients across industries.
Build and maintain the AI/ML platform that turns experimental models into production-grade, governed solutions using Databricks, AWS, MLflow and MLOps practices.
Leads the AI product vision for BMO’s internal tech systems, defining Gen AI roadmaps, prioritizing use cases, and guiding implementation of LLMs, RAG, and responsible AI practices.
Build and maintain the AI/ML platform that turns experimental models into production-ready, governed, and scalable solutions using Databricks, AWS, MLflow, and related tools.
Builds and maintains core ML infrastructure and full-stack systems that power Wayfair’s generative visuals for home visualization, using Python, FastAPI, React, and cloud platforms.
Lead AI/ML projects to build safety and security mitigations for Google Workspace, including LLM-based auto-raters and prompt-injection classifiers, collaborating with DeepMind and Workspace teams.
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.
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.
Build and maintain the data pipelines and tooling that feed AI/ML services for a cloud-based healthcare platform, enabling model development, deployment, and monitoring at scale.
Build and deploy AI-powered tools and automation to improve business workflows, integrating LLMs and ML models into existing systems.
Build and productionize LLM-powered AI agents and orchestration systems using NLP, retrieval-augmented generation, and agent workflows to enhance customer-experience analytics.
Senior Data Scientist builds and leads AI/ML models and analyses to solve complex business problems using Python, Databricks, and LLM workflows, translating data insights into actionable strategies.
Senior Backend Engineer building data pipelines and services that transform raw datasets into application-ready content and analytics using BigQuery, Dataflow/Beam, and PubSub.
Build and optimize AI data pipelines, integrate LLMs and multimodal models, and develop Java/Python backend services to turn AI capabilities into user features.
Build and optimize large-scale AI/ML systems for Google Cloud, leveraging distributed computing and advanced algorithms to power services like Search and YouTube.
Build and deploy AI-powered audience analytics for a large-scale media intelligence platform, using Python, PySpark, Databricks, and modern ML/AI techniques.
Build and optimize production fraud-detection models using Python, SQL, and Azure Data Lake to reduce false positives and improve accuracy.
Design and evaluate AI/ML solutions for VA healthcare, ensuring responsible deployment and alignment with federal standards while translating technical findings for stakeholders.
Lead a team to build and ship scalable generative AI applications using Google’s latest models, translating research into real-world products while mentoring engineers.
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