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Design and deploy enterprise-grade AI systems—from LLMs to robotics—using Python, PyTorch, and MLOps, ensuring scalable, secure, and commercially viable solutions.
Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. NRAO operates a portfolio of…
Lead the evolution of CBRAIN, a Ruby on Rails-based platform for distributed high-performance computing, improving its architecture, user interfaces, and data-processing workflows for researchers.
Manages and optimizes AI/ML infrastructure, including GPU clusters and cloud environments, to ensure reliable, secure, and scalable AI system operations.
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
Build and deploy generative AI applications using LLMs to automate workflows and improve customer experiences in a BPO and CX-focused tech company.
About Clockwork Systems Clockwork.io – Software Driven Fabrics to increase GPU cluster utilization Clockwork Systems was founded by Stanford researchers and veteran systems engineers who share a vision for redefining…
Design and evolve enterprise-scale data, analytics, and MLOps platforms, including AI-ready data foundations and semantic layers, to support both human and AI agent access across Experian's products.
Build and maintain a scalable open-architecture data platform for financial data, using Python, Java, Spark, Iceberg, and cloud services to enable secure ingestion, governance, and analytics.
Role Summary Design, build, and run core services and reusable components for the open-architecture data platform, enabling scalable ingestion, metadata-driven processing, governance, and reliable multi-engine data…
Lead AI engagements, design full-stack systems, and deploy production-ready prototypes using React, Python, and RAG architectures for enterprise clients in Kyndryl’s Frisco lab.
Build and lead the automation infrastructure that evaluates NVIDIA’s AI and accelerated-computing workloads, turning complex benchmarks into scalable, reproducible workflows.
Build backend services for AWS Marketplace’s post-procurement AI-driven buyer experience, scaling distributed systems to serve millions of customers.
Manage data science projects and ensure alignment with business goals. Ensure adherence to data science policies and procedures. Provide strategic guidance on data science practices. Lead a team of data scientists. Job…
Build and maintain Amazon EKS, a managed Kubernetes service that automates cluster setup, scaling, and updates so customers can focus on their apps rather than Kubernetes ops.
Build and optimize deep-learning inference pipelines for LLMs on AWS’s custom Inferentia/Trainium chips, integrating PyTorch/JAX with the Neuron SDK to maximize throughput and latency.
Lead the design of scalable data pipelines and modern data architecture at General Mills, partnering with engineers and analysts to enable data-driven decisions using cloud platforms and tools like BigQuery, dbt, and Dataflow.
Conduct research on reliable, self-adaptive AI systems for embedded and edge devices, focusing on uncertainty, sustainability, and resource control in next-gen AI-enabled systems.
Are you interested in pursuing a PhD at the intersection of artificial intelligence, embedded systems, and sustainable computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute and…
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