AI/Machine Learning Engineer (Staff & Principal Level)

AI/Machine Learning Engineer (Staff & Principal Level)

AI/Machine Learning Engineer (Staff & Principal Level)

Location: Gurugram

Company: Cyber-Periscope


About Cyber-Periscope:

Cyber-Periscope is defining the future of cybersecurity with our cutting-edge XDR platform. Our solutions autonomously prevent, detect, and respond to threats in real-time using patented AI models. With Cyber-Periscope, organizations achieve full transparency across their networks, ensuring every attack is addressed at every stage of the threat lifecycle.


Join our values-driven team where individual achievements are recognized, innovation is encouraged, and lasting partnerships are forged. Our global culture stands strong on pillars of Trust, Accountability, Relentlessness, Ingenuity, and Unity. If teamwork, inventive problem-solving, and collaboration resonate with you, we eagerly await your application!


Responsibilities:

  • Be an integral member of our AI engineering and research team.

  • Collaborate with diverse engineering teams to design and integrate new features for Cyber-Periscope's platform.

  • Guide technical strategies, research, and best practices for the AI/ML team.

  • Drive solution architectures and designs catering to stakeholder needs.

  • Engage in hands-on coding and conduct comprehensive code reviews.

  • Lead collaborations, ensuring transparency in communication with various stakeholders.

  • Model continuous learning, mentor team members, and stay updated on the latest industry advancements.

What You'll Need:

  • Master’s Degree in a quantitative science or engineering field (equivalent experience also considered).

  • Minimum of 5+ years in the AI/ML field.

  • Proficient in languages, frameworks, and tools like Spark, Airflow, Python, TensorFlow/PyTorch.

  • Experience in designing, training, and evaluating AI/ML models.

  • Familiarity with the entire system development lifecycle.

  • Comfort in working cross-functionally with both research and product teams


Bonus Points If You Have:

  • Experience with model parallelism and developing generative models.

  • Familiarity with endpoint security, OS concepts, representation learning, and software engineering.

  • Published works in recognized AI conferences.

  • Expertise in natural language processing, especially transformer-based models.

  • Experience with API-driven LLM application development, open-source foundation models, and practical reinforcement learning techniques.


How to Apply:

If you believe you possess the skills and passion required to excel at Cyber-Periscope, we'd be delighted to hear from you. Send your application and relevant documents to apply@cyber-periscope.com



© Copyright 2023 CyberPeriscope, All rights reserved.

© Copyright 2023 CyberPeriscope, All rights reserved.

info@cyber-periscope.com