AI + Data Engineer

We are looking for an experienced AI + Data Engineer to provide ongoing support for our data and AI initiatives. Responsibilities Maintain and optimize data pipelines (ETL/ELT). Support AI/ML model deployment, monitoring, and troubleshooting. Work with structured and unstructured datasets. Build and maintain data integrations and APIs. Debug production issues related to data processing and AI workflows. Improve system performance, scalability, and reliability. Collaborate with developers, analysts, and stakeholders. Required Skills Strong Python programming experience. Experience with data engineering tools (Airflow, Spark, Kafka, dbt, etc.). Hands-on experience with SQL and data warehouses (Snowflake, BigQuery, Redshift, PostgreSQL). Knowledge of AI/ML workflows and model deployment. Experience with cloud platforms (AWS, Azure, or GCP). Familiarity with REST APIs, Docker, and CI/CD pipelines. Strong troubleshooting and problem-solving skills. Nice to Have Experience with LLMs, RAG, vector databases, and AI agents. Knowledge of MLOps tools and best practices. Experience with monitoring and observability tools. When applying, please share: Relevant AI/Data Engineering projects. Your experience with cloud platforms and data pipelines. Examples of AI/ML systems you have supported in production. We are looking for someone who can quickly diagnose issues, provide reliable support, and help improve our AI and data infrastructure.