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Build and scale generative and predictive models of cellular behavior using PyTorch and distributed training, bridging ML research and production systems for drug discovery.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including Slurm clusters, OpenShift/Kubernetes, and NVIDIA stacks, while collaborating with data science and MLOps teams.
Design and optimize GPU-powered infrastructure for GenAI/LLM workloads, including distributed training, RAG pipelines, and NVIDIA stack tuning, while collaborating with MLOps and data science teams.
Overview Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for…
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Designs, deploys and manages Azure cloud infrastructure using AKS, Terraform and CI/CD pipelines, while maintaining 24/7 on-call support for SaaS platforms.
Designs and maintains Azure cloud infrastructure, AKS clusters, and CI/CD pipelines using Terraform and Azure DevOps, with a focus on automation, security, and observability.
Design and run CI/CD, MLOps, and Kubernetes-based cloud infrastructure for a Bitcoin-mining and AI-cloud company, ensuring high availability and security across global datacenters.
Transform research-level C++/Python code into secure, production-ready software and apply novel AI/ML methods for defense, aerospace, and sustainability projects in a fast-paced R&D environment.
Permanent position, Salary up to $6,000 Comfortable for 24/7 on-call rotation Strong knowledge in Microsoft Azure Key Responsibilities Design, deploy, and manage cloud infrastructure on Microsoft Azure. Build,…
Own the roadmap for WEKA’s Augmented Memory Grid, optimizing LLM inference performance by offloading KV-cache and integrating with engines like vLLM and NVIDIA Triton.
Build and scale MLOps infrastructure to deploy, monitor, and maintain AI models in production, collaborating with data scientists and engineers to ensure reliable, high-performance AI-driven services.
Research and develop quantization, pruning, and inference optimizations for LLM/VLM and MoE models to run efficiently on GPUs and NPUs.
Build, optimize, and deploy large language and multimodal models for industrial use, focusing on training, compression, RAG, and agent workflows.
At River, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
Design and migrate AWS cloud infrastructure for scalable Django apps, lead Kubernetes clusters, and advise clients on secure, cost-efficient cloud solutions.
Build and run a production-grade ML platform: design AI system architectures, deploy and optimize LLM inference servers, and maintain MLOps pipelines with GPU scheduling and monitoring.
Build, deploy, and optimize production AI systems including LLMs and generative AI models, focusing on inference pipelines, performance, and cost efficiency.
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