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Production ML Engineer — Remote

Elektro

Remote

PLN 240,000 - 320,000

Full time

12 days ago

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Job summary

A leading machine learning company is looking for an ML Engineer to manage data work, model implementation, and deployment in a remote-only environment. Candidates should have experience with ML projects and strong skills in deep learning frameworks like PyTorch or TensorFlow. Responsibilities include data preparation and integration of models into client systems, focusing on real production use. The company offers flexible working hours, growth review, and support for health and well-being.

Benefits

Work-life balance
Reimbursed private medical care
Leader’s support
Growth review
Workation opportunities
Life insurance
Flexible working time
Discounted corporate products
Coffee / tea
Drinks
Parking space for employees

Qualifications

  • At least one commercially deployed ML project.
  • Strong knowledge of at least one DL framework such as PyTorch or TensorFlow.
  • Ability to run the full ML lifecycle.
  • SQL knowledge sufficient for analytics and basic transformations.
  • Basic familiarity with cloud services like AWS, GCP or Azure.

Responsibilities

  • Prepare and analyze data for ML projects.
  • Implement ML models as APIs and integrate with client systems.
  • Participate in vision computing, predictive maintenance, and time series projects.
  • Conduct research as needed; focus primarily on delivery.

Skills

Machine Learning
Deep Learning (PyTorch, TensorFlow)
SQL
Cloud Platforms (AWS/GCP/Azure)

Tools

Docker
MLflow
Airflow
Job description
A leading machine learning company is looking for an ML Engineer to manage data work, model implementation, and deployment in a remote-only environment. Candidates should have experience with ML projects and strong skills in deep learning frameworks like PyTorch or TensorFlow. Responsibilities include data preparation and integration of models into client systems, focusing on real production use. The company offers flexible working hours, growth review, and support for health and well-being.
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