?>

Career

Computer Vision Engineer

Salary: 3.6LPA – 5.4 LPA

Experience: 1- 2 years

Preferred candidate: Immediate joiner

Location – MIRA ROAD .

Responsibility
• Work on Various SOTA Computer Vision Models, Dataset Augmentation & Dataset Generation
Techniques that help improve model accuracy & precision.
• Work on development & improvement of End-to-End Pipeline use cases running at scale.
• Programming skills with multi-threaded GPU CUDA computing and API Solutions.
• Proficient with Training of Detection, Classification & Segmentation Models with TensorFlow,
Pytorch, MX Net etc
Required Skills

• Strong development skills required in Python and C++.
• Ability to architect a solution based on given requirements and convert the business requirements
into a technical computer vision problem statement.
• Ability to work in a fast-paced environment and coordinate across different parts of different projects.
• Bringing in the technical expertise around the implementation of best coding standards and
practices across the team.
• Extensive experience of working on edge devices like Jetson Nano, Raspberry Pi and other GPU
powered low computational devices.
• Experience with using Docker, Nvidia Docker, Nvidia NGC containers for Computer Vision Deep
Learning
• Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes
and or Kafka)
• Good experience with any of one cloud technologies like AWS, Azure and Google Cloud.
• Experience in working with Model Optimisation for Nvidia Hardware (Tensors Conversion of both
TensorFlow & Pytorch models.
• Proficient understanding of code versioning tools, such as Git.
• Proficient in Data Structures & Algorithms.
• Well versed in software design paradigms and good development practices.
• Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes
and or Kafka).

Interested candidates can contact 9560155086 (HR) & Drop Resume at [email protected]