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Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
Build and ship ML and generative-AI systems that power decisions across Delivery Hero’s platform, from recommendation engines to LLM-driven automation, owning the full lifecycle from modeling to production.
Build Google’s next-gen on-device AI framework (LiteRT) to deploy ML models efficiently across Android, Chrome, iOS, and embedded systems with GPU/NPU acceleration.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
We are building a new Systems-Level Integration (SLI) team focused on Smart high-performance Inertial Sensors and Systems. As a Machine Learning Engineer in our expanding Riyadh office, you will pioneer the use of Deep…
Senior economist/data scientist builds and deploys econometric and ML models in Python/R, analyzes large datasets, and crafts client-facing reports and dashboards.
Build and maintain ML models and pipelines for document processing and AI agents using Python, LLMs, and libraries like PyTorch and scikit-learn.
DWH-разработчик в Сбере, отвечающий за проектирование и реализацию E2E-трактов поставки данных для управленческой отчётности на платформе Digital Reporting. Работа включает проектирование архитектуры решений, построение ETL-пайплайнов в Greenplum, разработку AI-агентов на базе LLM GigaChat и настройку оркестрации потоков данных. Стек: Greenplum, MS SQL, Python, Git/BitBucket, внутренний аналог Air
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Senior Fullstack AI Engineer builds and deploys end-to-end AI solutions using Python/Java/Scala, TensorFlow/PyTorch, and cloud platforms like AWS/Azure, while leading technical teams in Mexico City.
Build and deploy cutting-edge LLM-based conversational AI models that provide real-time coaching for call-center agents, using Python, PyTorch, and cloud-native pipelines.
Build AI agents that analyze session replays to surface issues and recommendations using LLMs, vector databases, and orchestration frameworks.
Job Description Job Description About Us At Rigetti, our mission is to build the world’s most powerful computers to solve the world’s most challenging problems. Rigetti is a pioneer in superconducting Qubits and full…
Build and maintain automated tests and CI/CD pipelines for distributed AI infrastructure running on GPU/CPU clusters, Kubernetes, and Slurm.
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Build and maintain scalable speech-to-text pipelines using deep learning for a contact-center AI platform, focusing on ASR, transcription, and diarization.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
Leads the design and scaling of ML infrastructure and systems for a cloud-native automotive platform, productionizing models and setting engineering standards across the organization.
About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Build anomaly-detection and forecasting models to optimize bank server infrastructure, reducing costs and preventing outages using Python, ML, and distributed data pipelines.
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