NobleAI

👥 11-50💰 $17,677,000 Series A almost 2 years agoArtificial Intelligence (AI)Oil and GasSustainabilityChemicalMachine LearningBatteryAdvanced MaterialsEnterprise SoftwareConsumer GoodsSoftware
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NobleAI is dedicated to accelerating the development of chemical and material products through its innovative Science-Based AI technology and user-friendly NobleAI Reactor Platform, enabling companies to innovate more efficiently and sustainably.

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🔥 Machine Learning Engineer
Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 140000.0 - 180000.0 USD per year

🔍 Artificial Intelligence, Material Science, Chemistry

  • MSc Degree in Computer Science or a related field
  • Understanding of machine learning algorithms and techniques
  • 3+ years of experience in building and deploying ML systems
  • 3+ years of experience working with Python and MLOps tools, including Docker, Kubernetes, KubeFlow, TensorFlow, PyTorch, Sagemaker, MLFlow
  • 2+ years of cloud experience (AWS or Azure ML Platforms)
  • 3+ years of experience in Software Engineering practices such as version control, testing, DevOps (build pipelines, CI/CD), and Python package management
  • Demonstrated ability to communicate complex technical details at a high level effectively
  • Design, build, and maintain scalable and resilient MLOPS architecture and code across our platform codebase, Kubernetes/KServe, AWS, and Azure
  • Collaborate with Research Scientists and DevOps Engineers to deploy custom models on the platform or as independent services
  • Help debug and resolve issues with model or service performance
  • Provide oversight/guidance and templates for Research Scientists to self-serve ML deployments for non-production needs
  • Deploy data assets and pipelines for model inference endpoints

AWSDockerPythonKubeflowKubernetesMLFlowPyTorchAzureTensorflowCI/CD

Posted about 1 month ago
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