Deep Learning Engineer (Video Analytics)

Responsibilities:

• Have practical knowledge of core image processing techniques and deep learning in video/ computer vision domain.
• Design and implement algorithms to solve problems in fields of computer vision and deep learning, using off-the-shelf and enhanced frameworks and solutions.
• Be up to date on latest developments in field of AI/ Machine Learning/ Deep learning and by reading relevant papers/ journals and applying the new learnings to create innovative video analytics engines and solutions.
• Evaluate, analyze and optimize system resources related to image processing, computer vision and deep learning.
• Keep current with technology trends, relevant academic research, and software skills.
• Work with marketing, user experience and platform R&D team to transition proof-of-concept to product offering.

Period:

• Permanent

Location:

• Jurong East

Working Hours:

• Monday to Friday: 8.30am to 6pm

Salary:

• Up to $7000

Requirements:

• Good Bachelor / Master / PhD (highly preferred) in Deep Computer Science, Computer Engineering, or equivalent.
• Minimum 3+ years’ experience in deep learning / machine learning technologies, tools and development frameworks in the field of video analytics, image processing, e.g. TensorFlow, Keras, Caffee, Pytorch, Modeling etc. Experience on developing the video analytics for various transportation events and analysis using deep learning technologies are required.
• Minimum 2+ years’ experience in software development and quick prototyping with C/C++/Java, Docker, Kubernetes, or any AI language of choice.
• Practical experience with at least one GPU-based acceleration using CUDA/CuDNN, etc.
• Proficient in performance analysis and optimization techniques.
• Self-motivated individuals with attention to details and ability to work independently.
• A team player who possesses good interpersonal and communication skills.

Added advantage

• Experience in using Source Control / Project Tracking systems (Github, Jira)
• Knowledge and experience with BigData analysis, microservice
• Experience with Agile Scrum development practices .

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

zoey@successhrc.com.sg (Reg No: R1550273)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)

1 Sophia Road, Peace Centre,

#06-23/29 Singapore 228149

T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg