Principal Engineer, AI/ML

Nike

3.7

(41)

India

Why you should apply for a job to Nike:

  • 60% say women are treated fairly and equally to men
  • 56% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.

    #21272_R-74951

    Position summary

    xperience.

    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.

    Why you should apply for a job to Nike:

  • 60% say women are treated fairly and equally to men
  • 56% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.