Machine Learning Software Engineer  

> Apply (and/or improve) machine learning/deep learning methods to architect solutions for tasks in natural language processing (NLP) and computer vision

> Obtain, process, and clean datasets used for training and analysis

> Analyze and visualize diverse sources of data, and interpret results in a business context

> Manipulate high-volume, high-dimensionality data to discover trends and anomalies

> Work closely with product managers, software engineers, and fellow ML engineers to define, implement, and refine solutions to problems for tasks that require machine learning

> Deploy predictive models and integrate them with existing automation software

> At least 1 year of experience in both machine learning/deep learning and software design and development

> Adept at Python; must be able to write robust, Pythonic code

> Must exhibit clear communication skills; as you will need to explain your process to both technical and non-technical individuals

> Must be able to properly evaluate models to ensure efficient (and correct) ones are deployed

> Strong fundamental statistics, linear algebra, and quantitative analysis skills

> Familiarity with core toolkits such as keras, numpy, opencv, nltk, scikit-learn, Jupyter, pandas, the like

> Experience with different forms of neural network topologies such as CNNs, RNNs, and their derivatives, including an intuitive understanding of how they work (non-negotiable requirement)

> Comfortable with reading through research papers and properly interpret findings presented in them

> adaptable

> A team player.

> Must exhibit a degree of creative freedom

> Must be a graduate BSC/BA in Computer Science, or other relevant field