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Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the…
The Data Scientist will build and maintain enterprise-grade AI platform components, focusing on MLOps, LLM orchestration, and infrastructure provisioning using tools like Kubernetes, Terraform, and AWS services. They are responsible for the full lifecycle of model deployment, monitoring, and optimization within the bank's data office.
Build and deploy autonomous AI agents that handle data engineering tasks (ingestion, transformation, validation, remediation) on AWS, using LLMs, agentic frameworks, and RAG systems with minimal human intervention.
Builds and leads fraud detection systems to protect Audible’s global marketplace from abuse, piracy, and fraud via rule engines, ML models, and real-time data pipelines.
Build and scale the infrastructure that runs data pipelines and AI/ML models in production, using AWS, Kubernetes, and MLOps tooling to ensure reliability and performance.
Build and deploy ML models for game features like matchmaking, economy balancing, and toxicity detection using Python, PyTorch, and cloud infrastructure.
Principal AI Platform Engineer building an internal AI Operations platform on AWS — including agent/tool registries, identity-inheritance patterns, and developer experience — for an insurtech company.
Sr. DevOps Engineer II at Hi Marley building and scaling AWS infrastructure for a P&C insurance SaaS platform and its agentic AI services, using Terraform, ensuring compliance and observability at enterprise scale.
Lead a team of data scientists to design, validate, and deploy ML/LLM solutions, ensuring technical rigor and measurable business impact while mentoring peers.
Design, build, and optimize scalable ETL/ELT data pipelines and cloud-based infrastructure using AWS and Snowflake for government healthcare clients, modernizing legacy analytics systems in an Agile environment.
Data Scientist at Bluetab (IBM Company) in San Isidro, Peru, designing and deploying predictive and propensity models for the financial sector using Python/R/PySpark, SQL, Amazon SageMaker, and XGBoost with SHAP-based explainability.
Senior Full-Stack Engineer building AI-powered consumer applications using Python, JavaScript, React, and cloud services (AWS/GCP/Azure), integrating ML model endpoints and data pipelines into production-ready products.
MaintainX is seeking a Senior Applied Machine Learning Engineer to lead the architecture and development of predictive maintenance and asset intelligence systems. The role involves building end-to-end ML pipelines, leveraging LLMs and IoT data to optimize industrial operations, and mentoring a team of developers.
The Data Engineer will design, build, and maintain scalable data infrastructure and ETL pipelines to support data science and analytical needs. This role requires proficiency in Python, PySpark, and AWS technologies within a hybrid work environment in Toronto.
The Senior Machine Learning Engineer will design and implement end-to-end LLM and generative AI pipelines for production environments. The role involves working with cloud platforms, MLOps, and various AI frameworks to build scalable, high-quality AI solutions.
Overview The Senior Engineer is responsible for designing, building, and maintaining the Machine Learning and AI platform. The role focuses on developing shared tools, services, and engineering patterns that enable…
Senior AI Engineer designing and deploying mission-critical AI and analytics solutions in a highly governed national security environment, using Python, Java, React, and AWS services (SageMaker, EKS, Bedrock, Amplify) with OpenAI API integrations.
Senior ML engineer builds and scales AI infrastructure for marketing SaaS, running training pipelines, APIs, and Kubernetes workflows on GCP to turn customer data into actionable insights.
Lead Data Scientist driving ML solutions for clients, managing end-to-end engagements and mentoring teams. Involves deploying models with Python, cloud platforms, and MLOps tools.
Senior Data Scientist building and deploying cutting-edge ML solutions across diverse use cases, working with engineers to integrate models into production environments using Python, SQL, and cloud ML platforms like SageMaker and Vertex AI.
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