Bachelor's degree in Computer Science, Engineering, or a related field., Experience with machine learning frameworks and tools such as TensorFlow or PyTorch., Proficiency in programming languages like Python and Java., Familiarity with cloud platforms and CI/CD pipelines..
Key responsibilities:
Design and implement MLOps pipelines for model deployment and monitoring.
Collaborate with data scientists to optimize machine learning models.
Automate workflows and ensure reproducibility of experiments.
Monitor system performance and troubleshoot issues in production environments.
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Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the "unknowns," our AI transforms data into clear threat narratives and actionable defense strategies. Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.