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Senior ML engineer builds and owns production-grade agent systems for AI-driven business decision tools, focusing on planning, tool use, evaluation, and post-training improvements.
Designs, builds, and maintains AI-powered applications using LLMs and cloud services, integrating them with enterprise systems while ensuring security and performance.
Role: The Data Security Administrator is responsible for making sure that Empower FCU’s data security tools effectively identify, classify, label and monitor the sensitive information within the credit union’s network,…
Design and build secure, scalable backend systems that integrate GenAI/LLM capabilities with advanced guardrails for enterprise data protection, using cloud-native and Kubernetes-based architectures.
Build and scale AI-powered talent evaluation systems using LLMs and multi-agent workflows, while designing and shipping large-scale backend services in Python and TypeScript.
Build and secure AI-powered backend systems for enterprises using Python/Golang, cloud platforms, and DevOps practices to protect against AI threats.
Build and scale the backend infrastructure for an AI-powered data annotation platform, deploying models, optimizing pipelines, and collaborating closely with founders to shape the product.
Operate and optimize machine-learning models, including LLMs, within Kubernetes clusters while building data-driven processes for a hosting provider.
Builds and optimizes the AI simulation platform that powers Simile’s generative-agent society models, focusing on distributed training, inference, and ML infrastructure to enable fast, cost-effective research-to-production pipelines.
Engineer vision inspection systems for manufacturing, configuring cameras, lenses, and lighting to meet customer specs and improve quality control processes.
Lead a team to deploy AI models onto embedded devices, optimizing software for hardware constraints and ensuring scalable, secure execution of AI workloads in real-world systems.
Build AI-powered features and agents for a PLM platform using .NET, React, TypeScript, Azure, and AI frameworks like LangChain.
Build and scale the data infrastructure that powers large language model training, fine-tuning, and retrieval-augmented generation at a national AI program in Singapore, using cloud tools and AI-assisted workflows.
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
Lead enterprise-grade generative and agentic AI programs, designing secure, production-ready systems and reusable architectures for Fortune 500 clients across industries like insurance, healthcare, and banking.
Build and deploy fraud-detection models and GenAI/LLM solutions using Python, Spark, and cloud platforms to protect credit data and financial transactions.
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
Embed with enterprise customers to prototype and deploy full-stack AI/ML applications, advising on architecture and operationalizing GenAI/agentic systems on Cloudera’s platform.
Build and deploy cutting-edge AI systems for Marsh’s AI Center of Excellence, turning experimental LLM tools into production-ready solutions and coaching teams on adoption.
Fine-tunes large language models using instruction fine-tuning and domain adaptation to improve model relevance and performance in specific contexts.
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