$130000.00 to $190000.00 yearly
Our client has a Cybersecurity platform that simulates its customers environments and tests their security under real world cyber attack situations in order to recognize vulnerabilities. The Data Science team is using ML to automate both cyber attacks and some defenses.
-Design and develop new AI/ML capabilities that advance our core activities
-Integrate these capabilities into the broader company software ecosystem
-Upgrade and maintain these systems
-Interact with provided cyber tools and other component services
-Producing high quality software that is well-written, well-instrumented, tested thoroughly, and securely designed and implemented
-Fluent in Data Science, ML, AI, and related topics and experienced with common libraries and tools (Tensor Flow, Keras, PyTorch, Pandas, Numpy, SciPy, Matplotlib, Seaborn, Sckit Learn, StatsModels,NLTK, Gensim, Spacy, Bokeh, Keras-RL, ...)
-Experienced with use of high performance computing to accelerate intensive tasks
-Fluent in Python, UML, git, GitLab/GitHub, container systems, databases, CI/CD, multithreading/multiprocessing, messaging, and modern team software development and testing tools and best practices
-Experience with reinforcement learning Python libraries (TF-Agents, RLlib, pyqlearning) or computer hardware is a plus
Python, Machine Learning
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