Computer Vision Engineer/ML Engineer

Role Description

This is a full-time on-site role for a Computer Vision Engineer/ML Engineer

 As a team member, you will develop and implement computer vision and machine learning solutions. Your day-to-day tasks will include designing and training models, conducting experiments, analyzing data, and optimizing algorithms. You will collaborate with cross-functional teams to deliver high-quality solutions that meet our clients' business needs.

Experience and Responsibilities

1. Expertise with hardware components commonly used in machine vision systems, including cameras, lenses, lighting, and frame grabbers.

2. Deep understanding of computer vision principles, best practices, image processing techniques, and machine learning algorithms.

3. Experience in developing and implementing machine vision systems, preferably in the Railroad, Airport, Heavy engineering, and Utilities business domains.

4. Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).

5. Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical solutions.

6. Excellent communication and teamwork abilities, with the capacity to collaborate effectively across multidisciplinary teams.

7. Experience deploying AI and deep learning algorithms to production is a plus.

8. Experience with regulatory requirements and standards for medical devices is a plus.

9. Attention to detail and a commitment to producing high-quality work.

10. Ability to work in a dynamic environment and find creative solutions for technology development roadblocks.

11. Ability to work both individually and collaboratively in teams to achieve project goals.

12. Strong communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences.

13. Good problem-solving and analytical skills

14. Excellent communication and teamwork abilities