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Design and build ML models and real-time data pipelines using Python, TensorFlow/PyTorch, Kafka/PubSub, and Databricks/Fabric for enterprise clients across industries.
Build and run Nexthink’s data backbone—Kafka, ClickHouse, Aurora, MongoDB, and new search/vector stores—on AWS, using Kubernetes, Terraform, and Go/Python to keep it reliable, fast, and self-service.
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only…
Design, train, and deploy ML models and data pipelines using PyTorch/TensorFlow and MLOps tools in a full lifecycle workflow.
Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
Job Purpose The Senior Cloud Security Engineer will design, implement, and maintain security controls across our multi-cloud environment, with a particular emphasis on securing AI/ML workloads and leveraging AI-driven…
Lead a team to design, build, and ship ML models and LLM/GenAI pipelines for a media-screening platform running on AWS, balancing classical and modern AI approaches.
Lead a team to build Snowflake-native AI platforms and autonomous agents that power data-driven decisions in rare disease commercial operations, using Cortex AI and Snowpark for production-grade ML and agent systems.
Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS)? Join us in helping customers across all industries to maximize the value and benefits of AWS services and Generative AI…
Design and deploy cutting-edge AI/ML models, including LLMs and SLMs, to power next-gen customer-facing and operational solutions at Cisco’s CX AI Incubation team.
Lead the security architecture for JPMorganChase’s AI/ML platforms, designing controls against threats like prompt injection and data poisoning while guiding secure AI agent development and deployment.
Design and implement cloud security architectures, automate controls, and secure AI/ML platforms across AWS and Azure while embedding security into CI/CD and MLOps pipelines.
Builds and deploys AI-powered applications by integrating LLMs, developing full-stack features (React/Next.js frontends, FastAPI/Flask backends), and optimizing RAG pipelines with vector databases for scalable, production-ready solutions.
Build and deploy production-grade generative AI systems—LLMs, RAG, and AI agents—to automate document processing, customer support, and decision workflows in a regulated banking environment.
Build, document, and optimize production-grade AI/ML pipelines and model integration layers using Python, PyTorch, and vector databases.
Build and deploy production-grade generative AI systems (LLMs, RAG, AI agents) for a large bank, focusing on NLP, document intelligence, and responsible AI in a regulated environment.
Build and deploy production-ready AI-powered apps using LLMs, full-stack dev, and cloud infrastructure; optimize performance, reliability, and security.
Design and build enterprise-scale AWS integration platforms using Glue, Lambda, Step Functions, and CDK (TypeScript) to create scalable, event-driven data pipelines and serverless architectures.
Sell AWS’s GenAI/ML portfolio (Bedrock, SageMaker) to telco, media, gaming, and sports firms, owning full-cycle deals and executive-level pitches.
Build and integrate AI-powered features into HCM software using Python and LLMs in AWS, under senior guidance.
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