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Build and optimize speech AI models (ASR, diarization) and pipelines, deploy ML services, and improve accuracy/latency for production systems.
Build and deploy scalable speech AI systems, training and optimizing ASR, diarization, and analytics models using PyTorch and modern ML toolkits.
This role is not remote, but supports a site that is not yet announced. Applicants must be able to work onsite 5 days a week. Note: Google's hybrid workplace includes remote roles. Remote location: Denmark. Minimum…
Build and deploy ML systems using LLMOps, deep learning, and Azure for predictive analytics and AI solutions for enterprise clients.
Senior AI Engineer builds and deploys production-grade LLM-powered systems, agentic workflows, and real-time chat services using Python, GPU infrastructure, and Azure AI.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Senior Data Scientist building and deploying LLM-driven AI systems for enterprise clients, optimizing reasoning chains, and leading MLOps and AI strategy.
Build and optimize OCR and handwriting-recognition models for an EdTech platform, turning student essays into structured text and improving teacher feedback workflows.
Build and scale a Python-based analytics engine that processes building-system data to cut energy waste and carbon emissions, running on Kubernetes and Docker with AI-driven insights.
Build ML models to detect fraudulent ad traffic at petabyte scale using deep learning and anomaly detection, protecting advertiser spend while maintaining user experience.
Build and fine-tune large language models and deep-learning systems on Cerebras’ wafer-scale AI hardware to solve real-world customer problems, from training bespoke models to deploying agentic AI.
Builds and deploys production-grade AI, ML, generative AI, and computer vision systems for a hospital, integrating with EHR, imaging, and clinical workflows while ensuring safety and scalability.
Senior back-end engineer building scalable RegTech and compliance automation using Python/Django, ElasticSearch, and AI-driven tools to streamline maritime trade counterparty onboarding and risk assessment.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Build Python/C++ frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, profiling and optimizing performance-critical code.
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
Build and improve NLP models for text-based tasks like classification and sentiment analysis using Python and libraries such as NLTK, SpaCy, and Transformers.
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