Lead Computer Vision/ AI Engineer
1 month ago
A highly innovative, fast paced, AI startup is looking for leaders with strong background and knowledge in AI/ ML/Computer Vision to be a part of their amazing team, below are the must have’s to be a great fit for the role.
● They need to have a solid technical background in AI/ML/CV. It's a Technical role for a leader.
● Programming background is a must, excellent coder is what we enjoy working with.
● Detail oriented and be antsy about specifics.
● Excellent written, verbal communication and presentation skills,
● Excellent analytical skills, Quick problem-solving ability, decision maker.
● Has ability to articulate documents and requirement quickly from open speech
● Be able to type fast for documentation / notes / emails to their teams
● Knowledge and usability with JIRA / EPIC’s, Excel, Google sheets and Agile Techniques
● Should not work in a silo, loves to work in teams and take leadership
● Ability to take decisions, Need to be able to lead the team, does not shy away from calling the shots
Requirements
Essential Requirements:
● Bachelor's / Master's degree in Computer Science, or related technical field, or equivalent work experience.
● Minimum 5 years of relevant work experience (Machine learning/ Artificial Intelligence/Computer Vision/Deep learning)
● Experience designing and implementing distributed software systems (e.g Java, C++, or Python).
● Research or Industry experience in Artificial Intelligence, Computer Vision, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning.
● Experience in working with software development in embedded real time systems
● Excellent C/C++ programming and software design skills
● Advanced experience in CUDA
Preferred Background:
● MA/MS or PhD in Electronics & Communication Engineering, Electrical & Computer Engineering, or related technical field. Else a B.E., B.S. in the same with minimum 7 years of industry experience.
● A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
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