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Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Build and maintain cloud-native AI infrastructure, CI/CD pipelines, and MLOps tooling to deploy AI models to production, using AI-assisted coding tools.
Builds and scales a production-grade ML/MLOps platform for 300+ data scientists across 60+ teams, focusing on Databricks MLOps and AWS SageMaker infrastructure.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Design and optimize agentic AI systems for healthcare workflows, focusing on retrieval, context, memory, and evaluation to ensure safe, transparent, and scalable performance.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Develops and maintains AI/ML pipelines, automates data workflows, and ensures scalable model deployment using cloud platforms and MLOps tools like MLflow/Kubeflow.
Builds and maintains data pipelines, infrastructure, and decision-making systems for ad targeting; models user personas and optimizes ad delivery using Spark, AWS, and ML.
A DevOps Engineer (AWS/IA) automates cloud infrastructure, CI/CD pipelines, and AI/ML deployments for a wealth management client, using Terraform, Kubernetes, and AWS services like EKS, SageMaker, and Bedrock.
Builds and maintains AWS-based CI/CD pipelines, cloud infrastructure (EKS/EC2), and AI/ML platforms for a wealth-management client, ensuring security, scalability, and automation.
Lead the MLOps and ML infrastructure for a global recommender system, owning deployment, scalability, and production monitoring using AWS SageMaker, Python, and MLflow.
DVT is a leading technology consulting and software engineering company delivering innovative solutions across Africa and internationally. We partner with clients to solve complex business challenges through software…
Build and maintain predictive models (GLM, XGBoost, Random Forest) for insurance underwriting and claims using Python and AWS SageMaker, then deploy them to production.
Optimizes and scales cloud-based ML training/inference infrastructure, automates pipelines, and ensures model reproducibility for Pathway’s post-transformer AI models.
The Data Scientist (Integration Engineering) designs and implements technical architectures to integrate AI models and LLMs into Allianz's existing insurance systems and databases. The role focuses on bridging data science solutions with core IT infrastructure using Python, SQL, and AWS cloud services.
Principal Data Scientist builds and scales AI/ML systems for media metadata and discovery, focusing on computer vision, generative models, and multimodal architectures.
*To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. * Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids…
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
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