Principal Engineer, AI/ML
1 day ago
Who You'll Work With
You'll be joining a dynamic, fast-paced Global FPE (Foundational Platforms Engineering) team within Nike. Our mission is to build and scale world-class cloud-native platforms, enabling Nike's data-driven decision-making and intelligent automation capabilities.
This role sits right into AI-driven innovation helping to drive cutting-edge advancements in both analytics and intelligent automation.
Collaboration and creativity are at our core, and we are passionate about leveraging cloud-scale data platforms and AI-powered automation to transform business operations.
Who We Are Looking For
We are seeking a Lead Software Engineer who brings deep expertise in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. You are someone who thrives in building scalable, high-performance data platforms to improve efficiency, insights, and user experience.
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 model monitoring/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.
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