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Senior AI Engineer at DV Trading builds and deploys custom AI models for proprietary trading, fine-tuning open-weight LLMs and operating on-prem inference infrastructure to reduce costs and latency.
Build and maintain AI inference infrastructure using Python and Kubernetes to deploy and optimize LLM services for a government customer.
Build and improve an AI shopping assistant that surfaces relevant listings, compares options, and suggests fair prices for millions of users using modern ML and LLM techniques.
Principal Machine Learning Engineer at Doctolib in Paris designs and standardizes AI/ML systems across healthcare applications, focusing on LLMs, agentic solutions, and regulatory compliance.
Leads the technical direction of AI systems for clinical decision-making and patient care, including LLM-powered tools and evaluation frameworks, in a regulated healthcare environment.
Leads the design and architecture of a production GenAI platform for Deliveroo and DoorDash, focusing on open-weight LLM/VLM serving, fine-tuning, and GPU infrastructure to optimize cost, latency, and scalability for business impact.
ML engineer builds and optimizes RAG pipelines, fine-tunes VLM for technical docs, and prepares on-prem LLM/VLM inference for an AI platform serving engineers.
Designs end-to-end AI/deep-learning architectures for geospatial platforms, customizing models like LLM/RAG and deploying on GPU/cloud infrastructure for defense, government, and commercial clients.
Builds AI models for medical imaging, clinical data, and multimodal healthcare datasets to detect lesions and derive insights for group-wide business challenges.
Build open-source AI solution blueprints and reference implementations for enterprise customers, focusing on production-grade architectures, MLOps, and secure deployments in regulated environments.
Data & AI – Manager CFGI, founded in 2000, is a dynamic and fast-growing financial consulting firm, serving as the trusted partner to CFOs and their organizations. We help clients tackle complex challenges across…
AI Solutions Engineer About the Role We are seeking a dynamic AI Solutions Engineer to join my client's Enterprise Sales team. In this role, you will be the technical authority guiding enterprise clients through…
Build and deploy LLM systems for banking, evaluating models with offline tests and A/B trials while fine-tuning with Python and vLLM.
Build and deploy production AI systems and LLM workflows for banking, including credit risk and compliance, using Python, vLLM, and fine-tuning techniques.
Build and optimize NVIDIA’s TensorRT and TensorRT-LLM inference engines in C++/CUDA to accelerate large language models on GPUs.
Lead product strategy for NVIDIA’s AI inference tools and SDKs, collaborating with developers to optimize GenAI deployments on GPUs.
Develop and optimize CUDA-based deep learning systems, designing custom kernels and distributed AI pipelines to maximize GPU performance for training and inference workloads.
Senior engineer optimizing NVIDIA’s open-source Dynamo inference platform, integrating vLLM/SGLang/TensorRT-LLM and pushing AI latency/throughput benchmarks.
Build and operate ML infrastructure for drug-discovery models, deploying GPU-backed services, LLMs, and agentic workflows on AWS/Kubernetes while ensuring reliability, observability, and lifecycle management.
What you'll do: Build and ship LLM systems and workflows to production, where real bankers and customers use them Learn to evaluate AI properly: offline evals, A/B tests, live monitoring Work hands-on with Python,…
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