Job
Description
Job Title: Computer Vision and Deep Learning Engineer
Reporting to: Tech Lead
Salary: Competitive
Location: HSR, Bangalore
Joining: Immediate or as per the availability
Job Purpose
We are looking for full-time employees with proven Deep Learning (DL) or Machine learning knowledge or entry-level graduates with good projects, who will be integral team members in designing, innovating, and building cutting-edge AI products in the areas of Image and Video Analytics. You will work with other product developers and the Chief Engineer throughout the Product Development Life Cycle. In this role, you are expected to be hands-on, able to work independently with attention to detail, and have great problem-solving skills. In addition, the role would require working with a small team of product engineers to deliver solutions to customers.
Responsibilities
- Hierarchical problem decomposition, implementation of solutions, and integration with other sub-systems.
- Deliver solutions for customers as well as independently lead sub-projects within larger programs
- Work closely with team members to design, research, and architect AI-based solutions
- Understand business objectives and connect to technical solutions through effective system design and architecture
Team Level
- Be a team player, work independently, lead sub-projects and provide technical insights on a daily basis
- Be able to communicate effectively with the team and leadership and all stakeholders
Professional Experience
- Should have cumulative experience in image/video processing and other data analysis using ML, and DL.
- Hands-on experience in using ML and DL frameworks (e.g. Python, TensorFlow, PyTorch, Keras, CPP*) and techniques
- Experience in implementing state-of-the-art AI techniques
- Excellent oral and written communication skills
Preferred
- Experience in computer vision, edge AI
- Have existing research papers under any prof./company
- Experience in AWS Sagemaker
- Experience in implementing state-of-the-art AI techniques from the literature
Qualification
- Completed Bachelor, Master, or Ph. D in Computer Science, Electrical Engineering, or equivalent