Senior Computer Vision Engineer

Job Description

As Computer Vision Engineer, you will be working with highly complex structured and unstructured datasets. Yes, we are talking terabytes. You will be building Statistical, Machine Learning, and/or Deep Learning models to solve business problems, improve operation, and build data products.

Responsibilities

Build state-of-the-art Deep Learning models to tackle Computer Vision problems
Maintain and monitor the system performance
Coordinate with other teams to obtain the necessary data
Research and continuously improve the model
Automate the data pipeline, training, and testing processes
Work with data/product engineers to deploy it to production and/or build a data product out of your ML models
Communicate with the stakeholders to understand the business problem, solve the problem using data, and effectively present the insights/results

Requirements

B.S./M.S./PhD in mathematics, statistics, data science, computer science, electrical engineering, or related field
Good understanding of data science: data visualization, regression, clustering and classification
Fluent in Python (Numpy, Pandas, Scikit-Learn)
At least 1 year experience working with Machine Learning (Decision Trees, SVMs, Logistic Regression, PCA, Kernel Method)
At least 1 year working with Deep Learning. Being fluent in at least one DL framework (e.g. Tensorflow, PyTorch, MXNet)
You have trained Deep Learning models on GPUs
Proficiency in SQL and MongoDB
Good command of English
Good command of GIT and Data Version Control (DVC)
Experience working with big data and parallel/distributed/cloud computing is a big plus
Experience with image processing is a big plus
Experience with unsupervised and generative models are a big plus (e.g. Autoencoders and GANs)

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Data Wow

Senior Computer Vision Engineer

Job Description

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