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Build and optimize the reinforcement-learning training infrastructure that lets researchers iterate quickly on model training runs, using distributed systems and ML frameworks like JAX or PyTorch.
Take ML and computer vision models from research prototypes to production across edge devices and cloud GPU infrastructure, owning evaluation pipelines, data feedback loops, and deployment mechanics using Python, PyTorch, ONNX/TensorRT, Docker, Kubernetes, and Kafka.
Senior AI Engineer builds and deploys generative AI systems using LLMs, RAG, agents, and vector search, working remotely in LATAM or the US.
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries,…
Build and deploy ML models to recover underpayments for hospitals, improving revenue and efficiency using Python, scikit-learn, and cloud MLOps.
The role As a Triage Automation Engineer at Wayve , you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with Triage…
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Staff AI Infrastructure Engineer responsible for the reliability, scaling, and incident response of large-scale multi-GPU clusters running Slurm on Kubernetes, debugging deep failures across storage, networking, and GPU compute layers at a non-profit biology research lab.
What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+…
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
This role involves leading backend software projects, developing microservices with Node.js, and managing SQL databases and AWS infrastructure. The engineer will integrate AI/ML models and ensure secure, scalable performance within a healthcare-focused environment.
The Senior AI/ML Engineer will design, build, and maintain ML-powered features within Bloomreach's personalization platform. The role involves working with Python, GCP, and various ML frameworks to deploy scalable, high-performance models into production environments.
Senior ML Engineer at Bloomreach building AI-driven personalization systems (search, shopping, marketing) using GenAI, LLMs, and predictive models to tailor customer experiences across industries like retail and financial services.
Machine Learning Engineer leading data projects, developing predictive models, and deploying scalable ML solutions using Python, SQL, and cloud-based MLOps tools at a data consultancy in Uruguay.
The Senior Machine Learning Engineer will design, build, and operate production-ready NLP and LLM pipelines using AWS, Kubernetes, and Python. The role involves owning the full ML lifecycle, including RAG development and model fine-tuning, to deliver narrative analytics for mission-critical client projects.
Зарплата: до 350000 RUR (до вычета налогов) Чем предстоит заниматься: R&D и пайплайны: Проектировать архитектуру преобразования входных данных в структуру презентаций (секции, слайды, текст, визуал). GenAI и LLM:…
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