Computer Vision Expert - SRKay Consulting Group
- Bengaluru, Karnataka, India
- Apply by: Jan 01, 2026
- 1 Vacancy
- Local Candidates (India)
- Salary: 2700000 INR - 3200000 INR
- Shift: Second Shift (Afternoon)
- Career Level: Experienced Professional
- Degree: Graduate
- Experience: Year
- Contract
- Work from Office
Job Description
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/or 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 Industrial environment (Automotive/Manufacturing/Energy/Utilities) 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
No of Years of Computer Vision Experience : More than 4 years