Hybrid Machine Learning Data Engineer

Posted last week

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About the role

  • ML Data Engineer at Oden developing machine learning pipelines and systems for manufacturing optimization. Collaborating with product teams and utilizing AI and ML techniques for effective management.

Responsibilities

  • Research, develop, and implement data and machine learning pipelines
  • Manage and optimize the manufacturing process
  • Collaborate with manufacturing data including real-time sensor readings
  • Build systems that learn from high dimensional and heterogeneous datasets
  • Work with the latest techniques from deep learning, AI for timeseries, and recommendation systems
  • Collaborate with product teams on system development

Requirements

  • 1-3 years professional experience as an ML Engineer/Data Engineer
  • Advanced degrees (M.S. or PhD) in Machine Learning or related fields
  • Proficient with distributed data processing (e.g., Apache Beam, Spark)
  • Skilled in ML workflows and open source tools (e.g., MLFlow)
  • Proficient in Python and common ML libraries
  • Experience with SQL and GCP is a plus
  • Familiarity with unstructured data and Generative AI is a plus
  • Willingness to own projects end-to-end

Benefits

  • Equity and benefits
  • Career development pathways for growth and advancement
  • Commitment to a fulfilling work environment

Job title

Machine Learning Data Engineer

Job type

Experience level

Junior

Salary

$120,000 - $190,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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