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Staff Machine Learning Engineer

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about 2 months ago
Remote, WorldwideStaff+
H1B Sponsor

Responsibilities

  • Establish best practices and share expertise through collaboration and mentorship.
  • Design, train, fine-tune, and optimize machine learning models and algorithms for production.
  • Develop and maintain advanced LLM-powered systems and multi-agent architectures.
  • Implement continuous monitoring and automated retraining for model accuracy and stability.
  • Build and maintain scalable data pipelines for data preprocessing and model training.
  • Stay updated on the latest machine learning techniques and tools.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field.
  • 7+ years of experience in ML Engineering, Data Science, or a related discipline.
  • Proven track record as a technical lead in collaborative environments.
  • Strong programming skills in Python and experience with ML frameworks like PyTorch and TensorFlow.
  • Proficiency in data manipulation and analysis using tools like Polars, Pandas, and SQL.
  • Extensive experience in traditional machine learning tasks including feature engineering and model evaluation.
  • Solid understanding of supervised and unsupervised learning techniques.
  • Hands-on experience with multi-agent systems and large language models.
  • Experience with cloud platforms and containerization technologies.

Tech Stack

Apache HadoopApache KafkaApache SparkAWSAzureDockerDVCGoogle Cloud PlatformKubernetesMLflowNumPyPandasPythonPyTorchscikit-learnSQLTensorFlowTerraform

Categories

AI & MLData ScienceDevOps