Principal Machine Learning Engineer

📋 Description

• Define and execute ML platform vision and AI-driven products.
• Lead the full ML software lifecycle: architecture, design, deploy, operate.
• Develop production-ready ML systems and extend ML frameworks.
• Design scalable AI solutions for real-time platforms, big data, NLP.
• Collaborate with engineers and data scientists to accelerate model development.
• Lead architecture reviews, code reviews, and strategic engineering decisions.

🎯 Requirements

• Bachelor’s degree in Mathematics, Computer Science, or related field.
• 12+ years across full software lifecycle (design, coding, testing, deployment).
• 7+ years programming in Python, Java, or similar languages.
• 5+ years designing large-scale distributed systems on AWS, Azure, or Google Cloud.
• Extensive experience with ML and distributed data tech: PyTorch, CUDA, Spark, SageMaker.
• Proven experience leading engineering teams or mentoring engineers.

🎁 Benefits

• Opportunity to work on cutting-edge AI, ML, cloud, and automation initiatives.
• Remote work flexibility within the United States.
• Collaborative environment with highly skilled engineers.
• Influence product strategy and technical roadmaps.
• Professional development and continuous learning opportunities.
• Inclusive workplace culture focused on diversity and innovation.