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Lead Compurter Vision Engineer
3 months ago
Key Responsibilities:
Strategic Leadership and Project Management:
Spearhead the computer vision projects, ensuring consistent alignment with organizational objectives and technological advancements.
Manage end-to-end computer vision projects, ensuring on-time delivery, scalability, and robustness of implemented solutions.
Technical Development and Innovation:
Develop and optimize computer vision algorithms using technologies like OpenCV, DeepStream, and Python, ensuring they meet the top-notch standards for accuracy and efficiency.
Innovate and research new methodologies and technologies that propel forward the capabilities of the computer vision team.
Web Development and Integration:
Ensure the seamless integration of computer vision solutions within web platforms, enhancing user experiences and functionality.
Coordinate with web development teams, providing them with necessary APIs and technical support for integration.
Cloud Computing and On-Premises Management:
Lead the deployment of computer vision solutions in cloud environments (AWS expertise is preferable) and on-premises, ensuring security and compliance are maintained.
Develop strategies for storage, retrieval, and computation scalability in cloud environments, ensuring cost-effectiveness and efficiency.
Team Leadership and Mentorship:
Foster a conducive environment for knowledge sharing and mentorship, elevating the skills and competencies of the team.
Conduct regular one-on-ones and team meetings, ensuring alignment, resolving conflicts, and facilitating continuous learning.
Stakeholder Management and Collaboration:
Communicate effectively with stakeholders, ensuring requirements are understood and expectations are met.
Collaborate with cross-functional teams, ensuring synergies between various technological domains within the organization.
Quality Assurance and Compliance:
Ensure that the developed algorithms and solutions comply with quality standards and are rigorously tested.
Establish protocols that adhere to legal and ethical standards in data usage and model implementations.
Qualifications and Experience:
Educational Qualification: Bachelor's/Master's degree in Computer Science, Electrical Engineering, or related field.
Experience: 7+ years of proven experience in developing and implementing computer vision algorithms and managing related projects.
Technical Skills: Proficiency in Python, OpenCV, Deepstream, web development technologies, and cloud computing (preferably AWS).
Leadership: Demonstrable experience in leading and mentoring technical teams with a positive track record.
Skills and Abilities:
Analytical Skills: Ability to discern trends and insights from complex data and processes.
Problem Solving: An aptitude for developing innovative solutions to overcome complex technical challenges.
Communication: Excellent verbal and written communication skills for technical and non-technical audiences.
Team Collaboration: Ability to work effectively in and lead cross-functional teams.
