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Job Description

Immediate Joiner Preferred

Role Description :

This is a full-time on-site role for a Computer Vision Engineer/ML Engineer with minimum experience of 5 years

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 :

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

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

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

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

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

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

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

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

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

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

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

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

- Good problem-solving and analytical skills

- Excellent communication and teamwork abilities


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