SeniorData&AIEngineer

Senior Data & AI Engineer – Data & AI Platform We are looking for a Senior Data & AI Engineer to design, build, and operationalize scalable AI/ML solutions within our Data and AI Platform. This role focuses on enabling enterprise-wide AI adoption by developing robust data pipelines, deploying ML models, and building reusable AI services aligned with platform standards. You will work at the intersection of Data Engineering, Machine Learning, and Platform Architecture , ensuring AI solutions are production-ready, governed, observable, secure, and cost-efficient. Key Responsibilities 1. AI/ML Solution Development Design and implement scalable Machine Learning and Generative AI solutions on Databricks and Azure/AWS Build and optimize feature engineering pipelines and training workflows Develop reusable AI components, APIs, and enterprise AI services 2. Platform & MLOps Enablement Build and maintain end-to-end ML pipelines including training, validation, deployment, and monitoring Implement CI/CD pipelines for ML models and AI applications Integrate AI workloads with tools such as: Databricks MLflow Unity Catalog 3. Data Engineering & Integration Collaborate with Data Engineers to ensure high-quality and governed datasets Work with both structured and unstructured data across batch and streaming pipelines Optimize data pipelines for performance, scalability, and cost efficiency 4. AI Governance & Observability Implement model monitoring, drift detection, and performance tracking Ensure compliance with AI governance, security, and regulatory standards Enable auditability, lineage tracking, and observability for AI models Required Skills & Qualifications Advanced Data Engineering – Databricks Ecosystem Databricks Platform Expertise Strong hands-on experience with the Databricks ecosystem, including: Delta Lake Delta Live Tables Unity Catalog Databricks Workflows Serverless Compute Mosaic AI Model Serving Endpoints Data Pipeline Engineering Build scalable batch and streamin