Deep Learning/AI Engineer at Zimperium

Riga, Latvia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

CybersecurityIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Proven experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and large-scale machine learning algorithms
Expertise in designing and building AI agents based on LLMs
Strong programming skills in Python, with experience in AI/ML libraries and tools (e.g., scikit-learn, Keras, Hugging Face)
Solid understanding of AI and deep learning theory, including neural networks, supervised and unsupervised learning
Experience working with large datasets and implementing efficient data pipelines
Strong problem-solving skills and the ability to innovate in a fast-paced, research-driven environment
Familiarity with cloud computing platforms and deployment of AI models (AWS, GCP, etc.) is a plus

Responsibilities

Design and develop AI agents based on large language models (LLMs) to enhance security capabilities and user experience
Implement and optimize deep learning algorithms for various security applications, including threat detection and risk assessment
Collaborate with cross-functional teams to integrate AI models into Zimperium’s security solutions
Research and stay up to date with the latest advancements in AI and machine learning technologies to continually improve our products
Analyze large-scale datasets to train, test, and deploy AI models with high accuracy and efficiency
Ensure the scalability, performance, and reliability of AI systems in real-world environments

Skills

Python

TensorFlow

PyTorch

scikit-learn

Keras

Hugging Face

LLMs

Deep Learning

Neural Networks

Zimperium

Mobile security solutions for enterprises and government

About Zimperium

Zimperium focuses on mobile security, providing solutions to protect mobile devices and applications from cyber threats. Its main product, zIPS, is a mobile threat defense software that detects and addresses threats like malware and phishing in real-time. This software is designed for enterprises and government organizations, ensuring their mobile endpoints, such as smartphones and tablets, are secure. Zimperium differentiates itself from competitors by specializing in mobile security and offering tailored consulting services to enhance clients' security strategies. The company's goal is to safeguard sensitive data across various industries, particularly in sectors like healthcare and education, where mobile security is crucial.

Dallas, TexasHeadquarters

2010Year Founded

$70.1MTotal Funding

BUYOUTCompany Stage

Consulting, CybersecurityIndustries

201-500Employees

Benefits

Hybrid Work Options

Risks

Increased competition from companies like Apple could challenge Zimperium's market position.

Sophisticated malware campaigns highlight evolving threats that could outpace current security measures.

Availability on AWS Marketplace exposes Zimperium to increased competition from other vendors.

Differentiation

Zimperium offers a mobile-first security platform for comprehensive mobile device protection.

The company provides real-time threat detection and mitigation for iOS and Android devices.

Zimperium's solutions are available on AWS Marketplace, enhancing accessibility for AWS users.

Upsides

Recognition as a leader in mobile threat defense boosts Zimperium's credibility and client attraction.

Strategic partnership with Cyvatar could expand Zimperium's reach and enhance its portfolio.

Winning Cyber Defense Magazine awards highlights Zimperium's innovation, attracting new customers.

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