About Us: Dynamic Infrastructure is pioneering the field of infrastructure analysis using cutting-edge computer vision, NLP and machine learning technologies. We are dedicated to transforming complex data into actionable insights, driving innovation in infrastructure monitoring and maintenance.

Location: Emek-Hefer, Merkaz

Job Overview: As a Senior Computer Vision Research Engineer, you will be at the forefront of developing innovative computer vision solutions for civil infrastructure analysis. This role demands a unique combination of technical expertise in computer vision, a proactive approach to project ownership, and the ability to communicate complex ideas effectively. Your work will be instrumental in enhancing the safety, efficiency, and maintenance of infrastructure leveraging a spectrum of techniques to drive innovation and practical results.

Key Responsibilities:

1.    Develop and implement advanced computer vision algorithms tailored for infrastructure analysis.

2.    Lead projects from concept through to production, ensuring seamless integration of AI solutions into our product offerings.

3.    Collaborate with cross-functional teams to understand infrastructure challenges and develop effective AI-driven solutions.

4.    Manage the entire data lifecycle, including collection, cleaning, preprocessing, and analysis.

5.    Generate insights that inform product development and innovation.

6.    Communicate technical concepts effectively to diverse stakeholders.

7.    Adapt to new challenges in the evolving field of computer vision and infrastructure analysis.

Qualifications:

1.    M.Sc. in CS, Math, Engineering, or a related analytical field. A Ph.D. is an advantage.

2.    Proven experience in developing computer vision algorithms, preferably in the context of object detection/segmentation and image registration.

3.    Proficiency (5+ years) in Python and experience with computer vision frameworks and libraries such as OpenCV, PyTorch, or Tensorflow.

4.    Demonstrated ability to lead projects independently and drive them to completion.

5.    Hands-on experience developing and deploying machine learning models into production.

6.    Familiarity with cloud-based solutions, particularly SaaS platforms and AWS environments.

7.    Excellent communication skills, capable of explaining complex technical ideas in simple terms.

8.    Eagerness to embrace new challenges and continuously learn in the field of data science.

9.    Hands-on experience with Docker and Kubernetes - advantage.

10. Experience with photogrammetry, 3D models and point clouds - advantage.

11. Publications, patents, contributions to the AI community - advantage.

We understand that no candidate will be perfectly suited to every qualification listed. Therefore, if you meet a majority of the criteria and are enthusiastic about the role, we encourage you to apply.

What We Offer:

·      A dynamic and innovative work environment at the forefront of AI and infrastructure technology.

·      The opportunity to work on challenging projects with real-world impact.

·      Competitive compensation and benefits.

·      Opportunities for professional growth and development.