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Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

Not specified

Postgraduate Degree2 yrs expEnglishAWSPythonPy TorchScikit LearnSQLTensorflow

Job Description

• Develop, validate, and deploy ML models for performance and operational use cases (e.g., predictive analytics, decision support, performance measurement) • Build data pipelines and analysis workflows for structured and time-series data • Implement monitoring and iteration practices for deployed models (MLOps basics) • Collaborate with engineering and performance stakeholders to translate requirements into deliverables • Contribute to ML infrastructure and codebase quality (reviews, documentation, reusable components) • Travel occasionally for live validation and stakeholder feedback (role dependent; approx. 5–6 race weekends/year for some assignments)

Job Requirements

  • 2+ years building production ML systems
  • MSc in Machine Learning, Data Science, Computer Science, or related field (or equivalent experience)
  • Strong Python and experience with ML libraries (scikit-learn and/or PyTorch/TensorFlow)
  • Experience with data handling and querying (SQL)
  • Understanding of model evaluation, deployment concepts, and version control (Git)
  • Ability to work in complex engineering environments and communicate with non-ML stakeholders
  • Advantageous would be: time-series forecasting, optimization, real-time systems, dashboards, sports/motorsport analytics, AWS experience.

Benefits

  • Limited Travel required

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