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Senior Machine Learning Engineer

Posted 15 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Canada

💸 Salary: 100000.0 - 120000.0 USD per year

🔍 Industry: Cybersecurity

🏢 Company: SecurityScorecard👥 251-500💰 $180,000,000 Series E almost 4 years agoSecurityRisk ManagementCyber SecuritySoftware

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonSQLGCPGitKubernetesMachine LearningNumpyPyTorchAlgorithmsAzureData StructuresPandasTensorflowCI/CDLinux

Requirements:
  • 5+ years of experience or equivalent skills in ML Engineering or related field.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics or related field.
  • Strong programming skills in Python.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Proficiency in data manipulation using tools like Polars, Pandas, NumPy, or SQL.
  • Solid understanding of algorithms, statistics, and data structures.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Knowledge of CI/CD pipelines and version control systems (e.g. Git).
  • Familiarity with Linux/Unix command line tools.
Responsibilities:
  • Establish best practices and share expertise through mentorship.
  • Design, train, and optimize machine learning models and algorithms.
  • Build and maintain scalable data pipelines for data preprocessing and analysis.
  • Implement and manage models in production ensuring scalability, reliability, and performance.
  • Stay updated on machine learning techniques to enhance model accuracy.
  • Collaborate with data scientists and software engineers for ML solution integration.
  • Monitor, evaluate, and fine-tune models post-deployment for accuracy.
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