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Designs and maintains cloud-based AI platforms, automating infrastructure, CI/CD pipelines, and MLOps workflows for scalable Generative AI deployments in enterprise environments.
Build and optimize distributed ML training/inference systems for ByteDance’s AI platforms, focusing on scheduling, resource allocation, and model deployment across heterogeneous hardware.
Leads AI software platform initiatives at NVIDIA’s DGX Cloud, managing cross-functional programs for scalable, reliable AI workloads across cloud infrastructure and system integration.
A hands-on research residency embedded with the team building thermodynamic computing hardware that exploits analog dynamics and noise for AI inference, involving simulation, characterization, numerical method design, and co-authoring a paper.
Security Engineer building secure-by-default infrastructure, identity systems, and AI/LLM security foundations for Juicebox using AWS, Terraform, and GitOps.
This role is for a senior software engineer to build AI-powered compliance and automation systems for fintechs and banks. The position requires a hands-on builder with startup leadership experience to develop end-to-end software, including AI agents and browser automation, while working on-site in San Francisco.
The Senior Application Security Engineer will embed security practices into product development teams at Redgate, focusing on threat modelling, SDLC governance, and securing cloud-native and AI-driven software. The role requires strong expertise in C# and application security tooling to guide engineering teams in building secure, scalable solutions.
Builds and deploys AI/ML models for national security solutions, focusing on architecture, data, and security standards.
Builds scalable AI backend systems for Aircall’s AI Products Platform, focusing on security, performance, and real-time guidance with exposure to LLMs and AI frameworks.
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Designs and leads a scalable platform architecture for AI, robotics, and industrial data workflows, focusing on data ingestion, validation, transformation, and runtime execution. Shapes APIs, event-driven services, security, and integration patterns for cross-functional teams.
Build and deploy AI tools to automate and accelerate retail sales workflows, integrating models into core systems while ensuring security and adoption across the field.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Lead the design and implementation of AI evaluation frameworks for generative and agentic systems at a major bank, ensuring model safety, quality, and compliance while mentoring junior data scientists.
The Staff Software Engineer will design and deliver cloud-based services and full-stack features for Unity's game creation platform. The role involves optimizing cloud scalability, performing DevOps tasks, and integrating agentic AI tools into daily engineering workflows.
Build and scale ML systems for generative AI, NLP, and time-series analysis in RBC’s fintech AI accelerator, owning end-to-end ML product development from data to deployment.
Design and deploy enterprise-grade agentic AI systems using Databricks and Azure, focusing on multi-agent workflows, governance, and production deployment.
Builds Android apps in Kotlin for multiple client projects at a Miami-based digital agency with a Latam team.
Builds AI-driven CRM software components with modern tools, focusing on scalable, high-availability solutions. Leads development with GAI tools, mentors teams, and delivers performant features in a hybrid Agile environment.
Designs and executes test cases for AI-powered enterprise solutions like EVA, ensuring quality through testing, defect logging, and QA process improvements.
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