AI Platform Engineer - Hybrid

AI Platform Engineer

About the Company:

The company fosters a values-driven culture where trust, accountability, ingenuity, and collaboration are paramount. They are looking for individuals who are enthusiastic about innovative problem-solving approaches and thrive in a collaborative environment.

Role Overview:

They are seeking an AI Platform Engineer to join their dynamic team of AI engineers and researchers. This role involves direct involvement in the development of core AI technologies and products, contributing to the advancement of cybersecurity solutions.

Key Responsibilities:

• Develop and ship features for AI products and services
• Implement features in Python, ensuring robust testing and bug resolution
• Collaborate across multiple engineering teams to design and build new capabilities
• Maintain high standards of security and quality in all platform developments

Required Skills and Experience:

• Degree in computer science or software engineering (or equivalent experience)
• 5+ years of experience in Python development and production deployment
• 3+ years of experience with AI/ML techniques
• Strong background in software engineering, data structures, and algorithms
• Experience with large-scale high-load distributed systems
• Excellent communication skills and ability to work asynchronously
• Proficiency with Docker, Kubernetes, Terraform, ArgoCD, or similar technologies
• Familiarity with Amazon Web Services (AWS)

Preferred Qualifications:

• Experience developing applications using API-based LLMs
• Proficiency in training and deploying modern machine learning pipelines
• Knowledge of data science methodologies and technologies
• Background in computer security and security research
• Experience in Site Reliability Engineering (SRE) or similar operational roles
• Familiarity with Spark, Databricks, Weights and Biases, Airflow, MLFlow, or other MLOps/AIOps technologies
• Knowledge of modern Python libraries and tools (asyncio, pydantic, pandas, ruff, mypy)
• Experience with GPU technologies and compute frameworks (Morpheus, RAPIDS, JAX, Pytorch, CUDA)
• Familiarity with Google Cloud Platform (GCP) and/or Microsoft Azure