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Staff Machine Learning Engineer

📅 Aug 13, 2025
Machine Learning EngineeringNatural Language ProcessingGenerative AIAWS

📜 Description

  • Lead the design, development, and deployment of complex, production-grade ML systems and data pipelines.
  • Serve as a domain expert in applying AI to solve core business challenges like sentiment analysis and personalized search.
  • Drive innovation by addressing high-impact technical challenges and technical debt within ML and data infrastructure.
  • Provide technical mentorship to other engineers, raising the bar for engineering excellence and best practices.
  • Collaborate with Data Scientists and Product Managers to translate complex business requirements into data-driven ML solutions.
  • Implement MLOps practices, including automated CI/CD pipelines and model monitoring, to ensure system reliability.

🛠️ Requirements

  • Minimum of 8+ years of experience in Machine Learning Engineering or Applied Machine Learning.
  • Expert proficiency with the AWS ecosystem for MLOps, including services like Amazon SageMaker and AWS Step Functions.
  • Deep expertise in building scalable NLP solutions, including challenges like sarcasm detection and multilingual data management.
  • Experience with various ML algorithms, including supervised and unsupervised learning, deep learning, and Generative AI techniques.
  • Proficiency with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
  • Strong understanding of software engineering principles, including design patterns and version control.
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