AI Engineer - Remote

Overview

As an AI Engineer at Point Wild, you will help deliver advanced AI model development and optimize machine learning models to enhance cybersecurity solutions.

In Short

• Design and optimize machine learning models for security intelligence.
• Build and deploy RAG pipelines and feature stores.
• Collaborate with Data and MLOps engineers for model deployment.
• Leverage deep learning and NLP for actionable risk insights.
• Research AI approaches for post-quantum cryptography.
• Hands-on model development and optimization.
• Integrate models within a CI/CD pipeline.
• Optimize model performance and reliability.
• Support multiple AI initiatives.
• Work in a fast-paced, growth-oriented environment.

Requirements

• At least 4 years of experience in AI/ML Engineering.
• Strong fundamentals in supervised/unsupervised learning and NLP.
• Experience in building and deploying production-grade models.
• Familiarity with containerized models and cloud-based AI pipelines.
• Proficiency in Python and ML frameworks like PyTorch and TensorFlow.

Benefits

• Work on cutting-edge AI solutions.
• Be a key player in AI deployment.
• Collaborate with top AI engineers.
• Opportunity for career growth and learning.
• Contribute to impactful cybersecurity solutions.