AI/ML Security Specialist

2 days ago

erode, India beBeeData Full time

About our Security Data PlatformWe enable teams to be more effective by building the infrastructure modern security teams need to use their security data effectively.Our AI-enabled Security Engineer reduces analyst workloads by providing context to understand the nuance in disparate data sets.This helps companies' security analysts spend more time on what matters, remediating issues, by overcoming time-consuming data preparation tasks and compute-intensive queries.We provide the collection infrastructure, observability pipelines, security analytics, and smart data management through our turnkey data lake solution.Responsibilities:Collaborate closely with the founding team to deliver high-impact solutions to problems using Artificial Intelligence and Machine Learning.Design, implement, test, debug, optimize, and evolve key AI/ML components of our platform.Measure and improve the performance, precision, recall, and accuracy of AI/ML components.Drive prototypes and MVP architecture and development to deliver innovative features services which are consistent, maintainable, and highly scalable.Stay abreast of the latest developments in AI and ML and evaluate the potential impact of new technologies on our products and services.Communicate complex AI concepts to non-technical audiences and provide thought leadership within the company and at industry events.Contribute to the creation of intellectual property through patents, publications, and presentations.Key Requirements:Hands-on experience delivering Artificial Intelligence and Machine Learning features, ideally in security or analytics products.Experience wrangling multiple AI/ML applications using tools such as LangChain, Ollama, PyTorch, TensorFlow, Keras, or scikit-learn in production environments.At least 3 years of experience in building AI/ML features in big data platforms.Always investigating approaches to make solutions better.Moves autonomously and finds the right tradeoff between quality and pragmatism.Prides themselves for their code quality, testing, and documentation.

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