Part-Time ML Engineer — Remote, Flexible Hours

PrimeForge Manufacturing; Norway; A distancia; NOK 143.000 - 172.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation packages

Flexible hours

Remote work options

Opportunities for growth and developm…

Descripción de la vacante

PrimeForge Manufacturing in the United States is seeking a Part-Time Machine Learning Engineer to join our biometric passport project. You will develop and implement machine learning models to enhance accuracy and efficiency, collaborating with engineers and data scientists.

You should have a strong background in ML, deep learning, and computer vision, plus experience handling large datasets. Proficiency in Python or R and strong problem‑solving skills are essential for this remote, flexible

Formación

• Bachelor's degree in CS/Engineering/Math or related field.
• Minimum 2 years in machine learning or related field.
• Proficiency in Python or R.
• Strong ML techniques knowledge (deep learning, neural networks).
• Experience working with large datasets.
• Excellent problem-solving skills.
• Ability to work independently and collaboratively.

Responsabilidades

• Develop ML algorithms and models to improve biometric passport system.
• Analyze data, identify patterns, optimize algorithms for accuracy.
• Collaborate with engineers and data scientists to integrate models.
• Monitor model performance and adjust as needed.
• Research new techniques to improve system performance.

Conocimientos

Python

R

Machine learning

Deep learning

Educación

Bachelor's degree in CS/Engineering/Math

Descripción del empleo

PrimeForge Manufacturing in the United States is seeking a Part-Time Machine Learning Engineer to join our biometric passport project. You will develop and implement machine learning models to enhance accuracy and efficiency, collaborating with engineers and data scientists.

You should have a strong background in ML, deep learning, and computer vision, plus experience handling large datasets. Proficiency in Python or R and strong problem‑solving skills are essential for this remote, flexible