Computer Vision Engineer

We are helping customers globally solve grand challenges using AI and Industrial IoT. We are looking for passionate AI/ML Engineers who can solve real-world problems using visual and text data. Computer Vision has been adding significant value in helping customers though we deal with Time-series data from Sensors, Business Process, and other predictive and prescriptive use cases. The ideal candidate will be a multi-talented expert in AI who can build algorithms and manage end to end lifecycle from use case to deployment to MLOps.

Are you passionate about applying AI for Humanity?

Are you excited about visual data for ML/DL in solving toughest challenges of industries?

Do you want to innovate and push the limits of technology for enabling customers?

Are you ready for the future shared by the Algorithms?

Are you ready to go beyond delivering services and solutions and be part of a team that is working to disrupt the industry?

Then, we would like to talk to you about how we can shape the future together

Working with the data science team to research, develop, evaluate and optimize various computer vision and deep learning models for different problems.

• Explore and analyze unstructured data like images through image processing.

• Take ownership to drive computer vision solutions and meet customer requirements.

• Deploying developed computer vision models on edge devices and any other target environments

Technical Skills

• TensorFlow

• OpenCV

• Python, C, C++ Programming

• Artificial Neural Network (ANN)

• Deep Learning

• Image Processing

• PyTorch

• Amazon Web Services (AWS), Azure

• Cloud Computing

• Edge Computing (Linux, CPU, GPU, FPGA on Edge, Onprem and Cloud)

• Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch. Computer Vision on real time data, Machine Learning, OpenCV, Computer Vision, Tensorflow, RNN, CNN, Backpropagation.

• Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc.

Qualifications

Passion for collaboration and innovation

Curious about technology and a great learner and doer

Strong programming skills in various languages

Strong mathematics foundation

Should have deep knowledge about Nvidia edge devices and Deployments

Thrives in challenging environment

Amazing problem solver

High energy and speed

Obsession for customer delight, experience and product quality

Required Characteristics:

• Any degree in related field along with industry experience. Computer Science, Data Science, Machine Learning, Statistics with programming skills

• Able to manage end to end of a ML AI Project from Data Collection, Data Engineering, Model Building, Model Training, MLOps, Deployment, Supervised and Unsupervised learning, etc. Should have knowledge in Developing and Deploying enterprise grade CV/AI Solution.

Understanding about depth and breadth of computer vision and deep learning algorithms.