Description:

Lead the design and implementation of scalable AI and ML solutions across cloud data platforms.
Collaborate with Data Engineering, Data Science, Product, and Business stakeholders to create production-ready AI solutions.

Requirements:

8+ years in Data, AI, or Machine Learning Engineering roles.
3+ years designing ML platforms or AI architecture at scale.
Strong hands-on experience with Databricks, Apache Spark, Python, and SQL.
Deep understanding of MLOps, ML lifecycle management, and distributed ML systems.
Experience with cloud platforms (AWS, Azure, or GCP) and deploying ML models into production.
Strong knowledge of data architecture and scalable ETL/ELT patterns.
Excellent stakeholder communication and technical leadership skills.

Skills