Key Skills & Traits:

• 10+ years of experience in AI/ML model development, deployment, and lifecycle management

• Proven track record of architecting large-scale, distributed AI/ML systems

• Deep expertise in LLMs, generative AI, and advanced NLP techniques

• Experience leading MLOps/LLMOps strategy and implementation across teams

• Advanced proficiency in Python, SQL, Spark, and cloud automation

• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, Keras) and Hugging Face Transformers

• Experience with Databricks and multi-cloud AI/ML deployments

• Strong background in data engineering, pipeline orchestration, and data governance

• Demonstrated ability to mentor, coach, and lead engineering teams

• Experience with DevOps, CI/CD, containerization (Docker, Kubernetes), and modelmonitoring/versioning (DVC)

• Excellent communication, stakeholder management, and strategic planning skills

WHAT YOU’LL WORK ON
As a Principal Software Engineer, you will play a crucial role in architecting, modernizing, and leading the development of scalable, production-grade AI/ML platforms.
Core AI/ML engineer Responsibilities:

• Architect and lead the development of scalable, production-grade AI/ML platforms

• Define and enforce best practices for ML model lifecycle, reproducibility, and governance

• Lead cross-team initiatives to drive AI adoption and automation at scale

• Establish best practices for model versioning and reproducibility.

• Design and implement advanced NLP and generative AI solutions

• Manage ML infrastructure on Databricks cloud platform.

• Maintain security and compliance implementations for ML systems.

• Oversee ML infrastructure, cost optimization, and security/compliance for enterprise deployments

• Mentor and guide engineers, fostering a culture of technical excellence and innovation

• Collaborate with product, data, and business teams to align AI solutions with strategic goals

• Evaluate emerging technologies and drive continuous improvement in platform capabilities

• Evangelize AI adoption, helping Nike teams unlock new automation opportunities.