About the Role
As a Senior AI Engineer, you will play a crucial role in designing and implementing machine learning algorithms, particularly focusing on computer vision and video analytics. You will be responsible for developing software components based on defined requirements and conducting verification activities to ensure quality and reliability. Collaboration with cross-functional teams will be key as you tackle complex challenges using advanced AI techniques.
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Job Responsibilities
- Develop software components based on defined requirements and design specifications.
- Analyze, debug, and resolve software issues on embedded devices and PC-based systems.
- Perform software integration and ensure proper functioning across modules.
- Conduct verification activities such as testing, analysis, and reviews to ensure software quality and reliability.
- Collaborate with cross-functional teams to solve complex problems using AI, computer vision, and video analytics techniques.
- Develop and maintain video analytics solutions on edge devices using Python and C/C++.
- Implement algorithms for object detection, tracking, recognition, and classification.
- Ensure compliance with software development standards, quality assurance processes, and configuration management guidelines.
- Follow company policies, statutory regulations, and safety requirements.
Qualifications / Education / Experience / Training
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum 5-7 years of experience in designing and implementing machine learning algorithms.
- Strong understanding of Data Science, Machine Learning, and Deep Learning, with experience in computer vision.
- Proficiency in Python and C/C++.
- Experience working in Linux environments, including shell scripting.
- Familiarity with Git and Docker.
Operating Environment
- Work in a dynamic environment with changing priorities and tight deadlines.
- Ability to work under pressure and extend working hours when required.
- Willingness to travel and provide field support during testing.
- Operate under general guidance from a Manager or Mentor, with responsibility for planning and prioritizing daily tasks.
