Lead Software Engineer, ITC

3 days ago


Karnataka, India NIKE Full time

WHO YOU’LL WORK WITHYou’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 FORWe 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:7+ years of experience in AI/ML model development, deployment, and lifecycle managementProven track record of architecting large-scale, distributed AI/ML systemsDeep expertise in LLMs, generative AI, and advanced NLP techniquesExperience leading MLOps/LLMOps strategy and implementation across teamsAdvanced proficiency in Python, SQL, Spark, and cloud automationHands-on experience with MLFlowExperience with Databricks and multi-cloud AI/ML deploymentsStrong background in data engineering, pipeline orchestration, and data governanceDemonstrated ability to mentor, coach, and lead engineering teamsExperience with DevOps, CI/CD, containerization (Docker, Kubernetes), and model monitoring/versioning (DVC)Excellent communication, stakeholder management, and strategic planning skillsWHAT YOU’LL WORK ONAs a Lead 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 platformsDefine and enforce best practices for ML model lifecycle, reproducibility, and governanceLead cross-team initiatives to drive AI adoption and automation at scaleEstablish best practices for model versioning and reproducibility.Design and implement advanced NLP and generative AI solutionsManage ML infrastructure on Databricks cloud platform.Maintain security and compliance implementations for ML systems.Oversee ML infrastructure, cost optimization, and security/compliance for enterprise deploymentsMentor and guide engineers, fostering a culture of technical excellence and innovationCollaborate with product, data, and business teams to align AI solutions with strategic goalsEvaluate emerging technologies and drive continuous improvement in platform capabilitiesEvangelize AI adoption, helping Nike teams unlock new automation opportunities.



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