Senior Staff AI Engineer

New
USFull-TimeStaff
Salary not disclosed
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Job Details

Experience
5+ years working with AWS
Required Skills
AWSPythonArtificial IntelligenceCloud ComputingMachine LearningAzureDistributed Systems

Requirements

  • Extensive experience designing, developing, and deploying machine learning and AI solutions in production environments.
  • Strong expertise in model training, optimization, evaluation, and deployment practices.
  • Experience with multimodal AI models, reinforcement learning, and parameter-efficient fine-tuning techniques.
  • 5+ years working with AWS and experience with Azure.
  • Strong programming experience with languages such as Python, Java, Golang, or JavaScript.
  • Experience designing software architectures using the C4 model and other traditional design frameworks.
  • Strong understanding of Agile development methodologies and modern engineering practices.
  • Experience with continuous integration and continuous deployment workflows.
  • Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
  • Strong problem-solving skills with the ability to address ambiguous and complex technical challenges.

Responsibilities

  • Design, train, fine-tune, and evaluate advanced AI models, including multimodal models and large-scale machine learning systems.
  • Apply parameter-efficient fine-tuning techniques such as LoRA to optimize model performance and efficiency.
  • Implement reinforcement learning approaches to improve model capabilities and outcomes.
  • Develop and optimize audio and speech machine learning solutions, including speaker diarization and speaker identification.
  • Deploy, debug, and maintain distributed AI systems in cloud environments.
  • Optimize inference pipelines using techniques such as TensorRT, quantization, and pruning.
  • Monitor production models, address data drift, troubleshoot failures, and improve system reliability.
  • Establish and maintain continuous deployment workflows supported by unit, component, and integration testing.
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