Location
Mumbai | India
Job description
- 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 fastpaced 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.
- 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.
- Proficient with Training of Detection Classification & Segmentation Models with Tensorflow PyTorch MXNet etc
- Programming skills with multithreaded GPU CUDA computing and API Solutions.
- 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 VisionDeep Learning
- Experience with Scalable Cloud Deployment Architecture for Video Analytics(Involving Kubernetes andor Kafka)
- Good experience with any of one cloud technologies like AWS Azure and Google Cloud.
- Experience in working with Model Optimisation for Nvidia Hardware (TensorRT 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 andor Kafka).
python,computer vision,kafka,kubernetes,docker,architecture,artificial intelligence,machine learning
Job tags
Salary
