Machine Learning Engineer at Phantasma Labs | chakrie

Requirements

A background in Computer Engineering, Mathematics, Machine Learning, Industrial Engineering or a related field
5+ years of experience with Python
2+ years of experience in factory shopfloor operations as an engineer or planner, or 2+ years of experience working with ERP/MES systems for factories
Strong understanding of manufacturing processes across different production environments, including discrete manufacturing, line production and engineer-to-order
Basic understanding of reinforcement learning and experience developing or applying RL algorithms
3+ years of experience in factory shopfloor operations as an engineer or planner, or 3+ years of experience working with ERP/MES systems for factories
Research experience in developing RL algorithms
Experience with CI/CD pipelines, particularly GitHub Actions
Experience with libraries and tools such as PyTorch, Optuna and MLflow

Responsibilities

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Everything else on this page, kept up to date and available to every member of Chakrie at no cost at all.

Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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