About NIKE

NIKE Recruitment

Job Role: Software Engineer I , ITC

Qualification: Bachelors / Masters Degree

Experience: 0-1 years

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹15-30 LPA

Job Location: Karnataka

Last Date: ASAP

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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 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:

• 1+ years of production experience in AI/ML model development, deployment, and maintenance
• Proven expertise with Large Language Models (LLMs) and NLP tasks
• Strong background in data science and cloud-based AI/ML services (Databricks preferred)
• Expertise in MLOps/LLMOps for scalable model deployment and management
• Advanced programming skills in Python, SQL, and automation frameworks
• Worked in Cloud Platforms: Databricks(AI-ML)
• MLOps/LLMOps and MLFlow
• Passion for leveraging AI to enhance automation, efficiency, and analytics
• Strong collaboration, problem-solving, and leadership skills, with the ability to drive initiatives across multiple teams.

Good to have :

• Data Processing: Pandas, NumPy, Spark.
• DevOps: Docker, Kubernetes, DVC(Data Version control)/model monitoring and versioning.

WHAT YOU’LL WORK ON

• As a Software Engineer, you will play a crucial role in shaping, modernizing, and scaling by helping driving AI adoption and automation.
• Core AI/ML engineer Responsibilities.
• Develop end-to-end ML pipelines with focus on production reliability.
• Implement robust testing and validation frameworks for ML models.
• Establish best practices for model versioning and reproducibility.
• Build and optimize production-grade ML models .
• Develop custom NLP solutions for text analysis and processing.
• Create automated model evaluation and optimization pipelines.
• Manage ML infrastructure on Databricks cloud platform.
• Ensure scalability and cost optimization of ML deployments.
• Maintain data quality and pipeline efficiency.
• Maintain security and compliance implementations for ML systems.
• Evangelize AI adoption, helping Nike teams unlock new automation