Real-Time ML & Computer Vision Engineer for ADAS

Arion Recruitment Ltd

Lunds kommun

On-site

SEK 412,147 - 650,759

Full time

14 days+
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Job summary

Arion Recruitment Ltd is looking for a Machine Learning and Computer Vision Engineer in Lunds kommun, Sweden. The role involves developing and optimizing algorithms for object detection that enhance automotive safety. Candidates should possess a degree in Computer Science or Electrical Engineering and have strong experience with machine learning frameworks like TensorFlow and PyTorch. Expertise in computer vision and familiarity with data annotation techniques are essential. A background in the automotive sector, especially in ADAS, is a plus.

Qualifications

  • Proven experience in machine learning and computer vision, particularly with model training and data preprocessing.
  • Proficiency with ML frameworks like TensorFlow and PyTorch.
  • Familiarity with auto-labeling tools and techniques like active learning.

Responsibilities

  • Develop and optimize machine learning models and algorithms for real-time object detection.
  • Implement and improve auto-labeling and data annotation processes.
  • Collaborate with cross-functional teams to integrate models into ADAS.

Skills

Machine Learning
Computer Vision
Data Preprocessing
Real-time Applications
Analytical Skills

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

Tools

TensorFlow
PyTorch
OpenCV

Job description

Arion Recruitment Ltd is looking for a Machine Learning and Computer Vision Engineer in Lunds kommun, Sweden. The role involves developing and optimizing algorithms for object detection that enhance automotive safety. Candidates should possess a degree in Computer Science or Electrical Engineering and have strong experience with machine learning frameworks like TensorFlow and PyTorch. Expertise in computer vision and familiarity with data annotation techniques are essential. A background in the automotive sector, especially in ADAS, is a plus.
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