Applied CV Engineer
Applied CV Engineer
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Job Description
A typical day in office:
are developing video perception algorithms for unsolved problems in the technology area perception for autonomous drive vehicles.
have to explain why something works or not using data. And what next for the things not working with the reduced cost of labelling.
have to find that elusive data through innovative algorithms
Your job would involve
at the nature of the data
AI/DL algorithm performance
insights or patterns in failures
a hypothesis for the solution making.
Experiments for hypothesis testing
the techniques/methods in deep learning for experiments
the results of experiments
the next set of data or experiments forward
the targets for the current sprint
Agree on the experiments
delivery with the right process for quality
Qualifications:Strong technical background. At least a Bachelors/Master of Engineering in Computer Science or Electrical Sciences or related areas with 4 years of industry experience in designing and implementing perception algorithms.
You are a skilled software engineer with experience in Python and strong problemsolving skills.
You are passionate about solving realworld robotics problems and you have ideally worked on autonomous robots before. Prior knowledge of working with deep neural networks is a strong plus.
A team player. You take ownership and work with the team to deliver exceptional results.
You are interested in the performance of the entire system across engineering disciplines.
Ability to build and iterate quickly (AGILE mindset). You enjoy working fast and smart and you are comfortable in the earlier stages of developing an algorithm from scratch.
Hands on. You dig deep into important details such as the sensor driver if it improves the overall system. You like working with production machine learning pipelines from dataset collection and labeling to training and validation.
Great communicator. You have experience writing clear concise and detailed documentation.
Should be able to explain technical solutions clearly to nontechnical/different audience
Problem solver: You are expected to solve systemic problems.
Skills:Must have:1. Strong knowledge in DL 3yrs min)(fewshot learning transfer learning unsupervised and semisupervised methods active learning and semiautomated data annotation large scale image and video detection and recognition)
2. Hands on experience in Full stack Vision/Image related projects in production 3yrs min)
Data: Spark Hadoop (user level) visualization data preparation data handling understanding data
Model: tensor flow 2 and PyTorch
Deployment: docker flask kubernets
Cloud deployment: Azure/AWS3. Experience in Python4.
Tool:
GiT
Working with GPU
Linux
Multiprocessing and multithreading (application)
Sound knowledge of custom accelerator deployment (OpenVINO Jetson)
Tooling:
Good understanding of Visual studio code
CUDA RAPIDS OpenMP Distributed Systems and HPC application design
Qualifications
B.E/
Qualifications :
BE
Additional Information :
35
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
