Software Engineer II,ITC

and user experience.

Key Skills & Traits:

• 2+ 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 team

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 II, 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 opportunities.