Senior AI Machine Learning Engineer
Senior AI/ML Engineer responsible for the end-to-end lifecycle of machine learning solutions. You will design, code, and deploy scalable AI systems within robust software architectures.
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88,000+ live jobsSenior AI/ML Engineer responsible for the end-to-end lifecycle of machine learning solutions. You will design, code, and deploy scalable AI systems within robust software architectures.
Research and develop data science capabilities to enhance product performance on enterprise use cases. You will build production-grade Python components and work on complex tabular data problems.
You will lead strategic AI and data programs for enterprise accounts and oversee complex AI transformations. The role offers a competitive package, education budget, and a flexible working culture.
You will build practical AI applications using satellite and Earth Observation data. The role involves developing computer vision models and LLM-driven workflows.
You will build state-of-the-art speech systems and drive the model-data flywheel for TTS. The role involves architecting large-scale audio models and managing production inference.
This role focuses on designing evaluation pipelines and automated dashboards for speech generation and recognition models.
Lead Applied Scientist role in TomTom's Maps POI team, designing and delivering scalable AI/ML solutions.
Design and develop electronic systems, including schematics and PCBs, for cutting-edge legged robotics at Helsing's Barcelona office. Work in a multidisciplinary team on complex challenges.
This role involves developing multimodal neural search and ranking models for personalized learning. You will research, prototype, and deploy cutting-edge AI models into production.
This role involves technical leadership for AI solution design and global technology strategy. You will manage AI/ML platforms and solve complex technical problems.
This role focuses on designing and implementing AI-driven innovation projects and POCs. It offers a stable position within a collaborative university environment with flexible hours.
This role focuses on designing and deploying Generative AI solutions using LLMs, RAG architectures, and agentic systems.