Part-Time Machine Learning Engineer

PrimeForge Manufacturing

Norway

Remote

NOK 143,000 - 172,000

Part time

14 days+

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Benefits offered by this job

Competitive compensation packages
Flexible hours
Remote work options
Opportunities for growth and developm…

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
R
Machine learning
Deep learning

Education

Bachelor's degree in CS/Engineering/Math

Job description

Machine Learning Engineer vacancy in Us Norway

We are a cutting-edge technology company specializing in biometric passports located in the United States. We are seeking a highly skilled and motivated Machine Learning Engineer to join our team on a part-time basis.

As a Part-Time Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms and models to improve our biometric passport system. You will work closely with our team of engineers and data scientists to analyze data, identify patterns, and optimize algorithms to enhance the accuracy and efficiency of our system. You should have a strong background in machine learning, deep learning, and computer vision. You should have experience working with large datasets and be proficient in programming languages such as Python or R. Additionally, you should have excellent problem-solving skills and be able to work independently as well as collaboratively.

Responsibilities
  • Develop machine learning algorithms and models to improve biometric passport system
  • Analyze data, identify patterns, and optimize algorithms for better accuracy
  • Collaborate with engineers and data scientists to integrate models into existing systems
  • Monitor performance of models and make necessary adjustments
  • Research new techniques and technologies to continuously improve system performance
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics or related field
  • Minimum 2 years of experience in machine learning or related field
  • Proficiency in programming languages such as Python or R
  • Strong understanding of machine learning techniques such as deep learning, neural networks, etc.
  • Experience working with large datasets
  • Excellent problem-solving skills
  • Ability to work independently and collaboratively
Benefits
  • Competitive compensation packages
  • Flexible hours
  • Remote work options
  • Opportunities for growth and development within the company

Salary: $1500 per month (based on experience)

Location: United States (preference given to local candidates)

Contract: Part-Time (Possibility to transition into full-time based on performance)

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