Edge AI Engineer – On-Device ML & Vision (Remote, Flexible)

Sigma Industry Innovation AB; Lunds kommun; On-site; SEK 480,000 - 600,000; Full time

Benefits offered by this job

Flexible hours

Remote work options

Health and wellness benefits

25 days of annual paid vacation

Job summary

Sigma Industry Innovation AB in Lund is seeking a talented professional to work on cutting-edge ML projects involving computer vision, AI, and sensor fusion. The role emphasizes designing, training, and deploying ML models, ensuring accuracy and performance on various hardware platforms.

Ideal candidates possess strong skills in Python and machine learning frameworks, with at least 2 years of hands-on production experience. The company offers a vibrant work environment, competitive pay, and generous benefits including 25 annual vacation days.

Qualifications

• Strong hands-on experience in developing and deploying ML models for Edge or Embedded platforms.
• 2+ years of hands-on experience developing and deploying ML models in production.
• Understanding of end-to-end ML lifecycle, including experimentation, evaluation, and deployment.

Responsibilities

• Design, train, and validate ML models for computer vision and predictive analytics.
• Build data processing and analysis pipelines for edge and hybrid deployments.
• Collaborate with cross-functional teams to integrate ML functionality into products.

Skills

Python

Machine Learning frameworks (PyTorch, TensorFlow)

Computer Vision (OpenCV, scikit-learn)

Data pipelines

Effective communication skills

Education

Master's or PhD in ML, Robotics, Autonomous Systems or related fields

Tools

Docker

FastAPI

Azure or AWS

Job description

Sigma Industry Innovation AB in Lund is seeking a talented professional to work on cutting-edge ML projects involving computer vision, AI, and sensor fusion. The role emphasizes designing, training, and deploying ML models, ensuring accuracy and performance on various hardware platforms.

Ideal candidates possess strong skills in Python and machine learning frameworks, with at least 2 years of hands-on production experience. The company offers a vibrant work environment, competitive pay, and generous benefits including 25 annual vacation days.