Computer Vision Engineer (Senior role)

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)
• New graduates having worked with ML/DL in the academia are welcomed