Description

Who are we?

PlaxidityX is a global leader in the automotive cyber security industry. We protect drivers & manufacturers from cyber attacks on their vehicles. We use top notch technology & have several products for inside & outside the car

Why PlaxidityX?

• Pioneering the automotive cybersecurity landscape with cutting-edge solutions.
• Empowering millions of lives through revolutionary advancements in safety and security.
• Immersed in an environment of continuous learning and technological excellence.
• Opportunity to shape the future of automotive cybersecurity globally.

Responsibilities:

• Lead the end-to-end development and deployment of machine learning models for anomaly detection and security event analysis.
• Analyze large-scale security event logs, network traffic, and behavioral data to identify patterns, trends, and potential threats.
• Design and implement real-time detection algorithms, ensuring they are scalable, efficient, and production-ready.
• Independently drive data science initiatives, from problem definition to solution deployment, while collaborating with L3 security analysts, data engineers, and SOC teams.
• Translate business and security challenges into data-driven solutions, proactively identifying opportunities to enhance detection capabilities.
• Build and maintain robust data pipelines for structured and unstructured security datasets.
• Work with large-scale unstructured data, including text-based logs and security reports, leveraging NLP, LLMs, and retrieval-augmented generation (RAG) techniques where applicable.
• Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring alignment with business and security objectives.
• Stay up to date with industry trends, continuously improving methodologies, models, and processes.

Requirements

• 5+ years of experience in machine learning and data science, with the ability to quickly learn and adapt to the cybersecurity domain.
• Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong knowledge of supervised and unsupervised learning techniques, particularly in anomaly detection.
• Proven ability to work independently, take initiative, and drive projects from concept to production without relying on an established data science team.
• Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, Spark, and SQL.
• Strong software engineering skills - ability to write production-level ML code and work with MLOps pipelines.

Advantages

• Practical experience with NLP techniques, including NER and transformer-based models (e.g., BERT, GPT, T5).
• Familiarity with LLMs, retrieval-augmented generation (RAG), and their real-world applications.
• Experience with network security, threat modeling, and intrusion detection systems (IDS).
• Familiarity with SIEM systems and threat intelligence feeds.
• Advanced academic qualifications (Master's, PhD) in Data Science, Computer Science, or a related field.

At PlaxidityX, you'll be part of a dynamic team dedicated to pushing the boundaries of automotive cybersecurity. If you're passionate about leveraging data science to drive meaningful impact and thrive in a role where innovation is valued and encouraged, we want to hear from you. Join us in shaping the future of automotive security and make your mark on the world.