Principal Engineer, AI/ML

1 day ago


Bengaluru, Karnataka, India Nike Full time ₹ 1,50,000 - ₹ 2,50,000 per year

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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