Responsibilities
- Ability to select the appropriate classified image libraries and algorithms to develop anomaly detection applications.
- Develop solution architecture and generate drafts for design reviews.
- Assist in the installation and running of product demonstrations.
- Contribute to expanding and sustaining the knowledge base through training and mentoring of peers and subordinates.
- Establish a technical performance benchmark.
- Support the Sales team during the bidding process with technical clarifications.
- Support the project team with estimates, schedules, and resource loading.
- Help in developing project documentation and client training.
Requirements
- Solid problem-solving skills with Python or C++.
- Experience working with open-source object detection (Mobilenet SSD, EfficientDet) and classification models (Mobilenet, VGG).
- Solid image processing skills (camera calibration, homography estimation, feature matching, optical flow estimation).
- Proficient in at least one of tensorflow and pytorch.
- Experience with optimizing models (FP16 INT8) and deployment on edge devices like Coral and Jetson Nano with TensorRT.
- Experience with cloud platforms like AWS for deployment and training is welcome.
- Comfortable with concepts of threading and multiprocessing.
- Advantageous if you have experience with using Django.
- Previous experience working with PostgreSQL or other RDBMS.
- Good interpersonal skills and the ability to collaborate with internal stakeholders as well as end customers.
- Good organizational and time management skills with the flexibility to reprioritize as necessary.
This job was posted by Koushik Ramesh from Spritle Software.
