Backend Engineer (Analytics)

You will be working with our product development team to incorporate new statistical, machine learning and other analytic models in our conversational and decision AI platforms. A key part of the work is to make the analytics execution framework robust and production ready, with extensive testing. Finally, we are looking for creative thinkers to help us innovate as we design and implement new and relevant features in our products. Since you’ll be working on our product, you are also responsible for upholding a high standard of code quality, and writing and maintaining tests for the code you write and the models you develop.

What makes you a great fit:
Proficiency in data mining and machine learning techniques
Understanding of basic software engineering design principles, and the ability to write clean, well-structured, maintainable and testable code
Strong fundamentals in Computer Science - e.g. data structures, algorithms and time complexity.
Experience with Python and its machine learning/data management toolkits, such as pandas, scipy, scikit-learn, statsmodels, sqlalchemy and numpy, on Linux
Experience using data science notebooks like Jupyter
Experience with cloud data storage and compute components including Kubernetes, data lakes, compute clusters, and data warehouses
Good presentation and communication skills, and ability to interact with customers
Fluency in English is a must
Experience with SQL and NoSQL databases
Experience in working with Big Data and Stream Processing systems (such as Hadoop,Spark, Storm, etc.).
Experience in telecommunications, financial services, healthcare or aviation domains
Experience in other programming languages, especially C++ (C++11), Java and Javascript
Knowledge of specialized analytic fields like text-mining, geospatial analytics, time series analytics, image or video processing, etc.
Experience with deep learning frameworks, particularly for natural language processing
Knowledge of data visualization packages, in Python and outside