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About ThreatLandscape ThreatLandscape is building the next-gen threat intelligence, attack surface minimalization, and remediation platform for cyber security teams at enterprises and governments. With a mission to create a global brand, ThreatLandscape’s currently looking for passionate, like-minded folks in the areas of Data Engineering, Scientific Computing, and Machine Learning to join us as we move to change our industry’s landscape and become the go-to name for all intelligent cyber security solutions. What they will do • Will work with our Data Science team in evolving our threat intelligence platform • Build scalable data computing workflows • Exploit the latest in Deep Learning and Natural Language Processing technologies Who we need • Bachelor’s degree in Computer Science or related discipline • Over three years' experience programming in Python with a solid understanding of Python internals • Two years' experience with Python’s scientific computing and data analysis packages like Numpy, Scipy and Pandas • Over a year's experience building analytics platforms using Python • Experience in modeling real-world problems with machine learning for time series data • Experience with relational databases • Experience with Big Data architecture and frameworks like Hadoop, Spark or equivalent • Familiarity with Deep Learning frameworks like Tensorflow and Keras is a plus • Exposure to open source and cloud-specific data pipeline tools such as Airflow, Glue and Apache Beam
