Ai Ml Engineer

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:

2.5+ 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

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.