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Software Engineer II building and operating production ML models and AI-driven anomaly detection systems for Disney's streaming ecosystem (Disney+, Hulu, ESPN) using Python, PyTorch, FastAPI, and AWS.
Build and operate the enterprise AI/ML platform foundation at bpx energy (BP), creating reusable deployment patterns, CI/CD automation, and governance controls across Databricks, Palantir, Snowflake, AWS, and MLflow.
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Designs and evaluates scalable machine learning architectures for a large U.S. bank, guiding adoption of cloud-based ML platforms and MLOps practices to enable predictive modeling and AI-driven financial solutions.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
Build and operate MLOps platforms on AWS for autonomous driving ML workloads, implementing ML pipelines with Airflow and MLflow, managing multi-GPU training, and maintaining infrastructure using Kubernetes/EKS, Terraform, and Python.
The Director of AI Platform Engineering leads a team to build and operate the enterprise-grade infrastructure that governs AI workloads at BMO. This role focuses on delivering secure, compliant, and observable platform capabilities including AI gateways, policy engines, identity fabrics, and registry services.
Build and run the AI governance platform that enforces policy, identity, and observability for BMO’s enterprise AI services across AWS and Azure.
Builds and operates the core AI governance platform at a major bank, including policy engines, identity fabrics, observability, and guardrails for AI workloads across AWS/Azure, ensuring compliance and scalability for enterprise AI use cases.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in…
Data Engineer designing, building, and productionizing AI/ML and GenAI solutions for Bank of America's Global Commercial Lending division, with strong emphasis on Python, MLflow, MLOps, and enterprise data pipeline development.
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
Analytics Engineer transforming business requirements into analytical solutions using Databricks, Python, PySpark, and SQL while defining KPIs and improving data quality on an international data team.
Lead the architecture and management of an enterprise-scale data platform using Databricks, AWS, dbt, Terraform, and Python. Drive cloud-native platform engineering, automation, and SRE practices for asset and wealth management workloads.
The Senior Data Scientist will design and deploy end-to-end decision science systems, including forecasting, recommendation engines, and optimization models, within a hybrid-remote environment in Toronto. The role involves working with Python, PyTorch, and TensorFlow to build production-grade data products for the lottery and gaming industry.
The Senior Data Scientist will lead complex machine learning and generative AI initiatives, including agentic workflows and RAG solutions, to drive business insights and strategic outcomes. The role involves mentoring junior staff, collaborating with cross-functional teams, and ensuring responsible AI practices within a financial services environment.
Data Scientist – Job Description (10+ Years Experience) Job Title: Data Scientist Experience Level: 10+ years of relevant experience in Data Science, Machine Learning, and Advanced Analytics Location: Canada Role…
Company Sixone’s mission is to enable a world where blended plastics products can be circularly recycled back into existing supply chains instead of being sent to landfill. Sixone is developing technologies to enable…
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