Overview
We’re Hiring: AI Data Architect
We’re looking for an experienced AI Data Architect to design and scale data systems that power next-generation AI/ML solutions. If you enjoy building robust data foundations for machine learning and working at the intersection of data engineering and AI, this role is for you.
🔧 What You’ll Do
• Design end-to-end data architectures for AI/ML workflows (ingestion → feature engineering → training → inference)
• Build scalable pipelines and feature engineering frameworks
• Architect real-time and batch data systems for model deployment
• Collaborate with data scientists and ML engineers to productionize models
• Implement data governance, monitoring, and drift detection strategies
• Drive MLOps integration and best practices across the ML lifecycle
🧠 What We’re Looking For
• 7+ years in data architecture / data engineering (with ML exposure)
• Strong SQL + programming skills (Python or Scala)
• Hands-on experience with cloud platforms like Google Cloud
• Solid understanding of MLOps and ML lifecycle
• Experience with big data tools like Apache Spark or streaming systems
• Familiarity with feature stores, vector databases, and modern ML data stacks
✨ Nice to Have
• Experience with containerization (Docker, Kubernetes)
• Exposure to platforms like Databricks or Snowflake
• Knowledge of responsible AI and data governance practices
🌍 Why Join?
• Work on cutting-edge AI/ML initiatives
• Collaborate with cross-functional, high-impact teams
• Shape scalable data systems that drive real-world impact
📩 Interested or know someone who’d be a great fit? Drop a comment or message me directly.